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symbolic-instruction-tuning-sql

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train · 200k rows

inputs stringlengths 291 3.71k	targets stringlengths 1 2.65k
[ header: first issued \| design \| slogan \| serial format \| serials issued \| notes row 1 : 1913 \| red lettering and white background painted on porcelain- \| none \| 12345 \| None \| steel registration seal on right side between "n. row 2 : 1933 \| orange lettering embossed on black base \| none \| a12345 \| None \| county letter code at left row 3 : 1952-56 \| orange lettering embossed on black base \| none \| a/b 123; a/ \| None \| tab for subsequent years inserted over original date row 4 : 1959 \| black on buff, non-reflective, \| garden state embossed in plain block letters below \| abc-123 \| aaa-100 to rh \| None row 5 : 1960 \| black on buff, non-reflective, \| in transit embossed in plain block letters below \| f-86-3 \| f-11-3 to f-99- \| from the collection of richard watson row 6 : 1970 \| black on buff, non-reflective, \| garden state embossed in plain block letters below \| abc-123 \| uaa-100 to yzz \| None row 7 : 1973 \| black on buff, non-reflective, \| garden state embossed in plain block letters below \| 123-abc \| 100-aaa to 999-h \| None row 8 : 1977 \| black on buff, non-reflective, \| garden state embossed in plain block letters below \| 123-abc \| 100-hca to 999-kzz \| None row 9 : 1979 \| yellow on blue, non-reflective, \| garden state embossed in plain block letters below \| 123-abc; new jersey state \| 100-laa to 999-zzz \| None row 10 : 1985 \| yellow on blue, non-reflective, \| garden state embossed in plain block letters below \| abc-123; new jersey state icon used \| zaa-100 to zzz- \| None row 11 : 1999 \| black embossed numbers on yellow to white gradient \| garden state screened in black plain block letters below \| abc-12d; new jersey state icon used \| jaa-10a to vzt- \| None row 12 : 2010 \| black embossed numbers on yellow to white gradient \| garden state screened in black plain block letters below \| a12-abc; new jersey \| a10-aaa to present 4, \| k43-ecg (current highest ] Execute this SQL based on the above table: select serials issued where notes != 'k43-ecg (current highest series known on 03-26-2014)'	f-11-3 to f-99-31, 2, 5
[ header: year built \| works number \| wheel arr. \| gauge \| original owner \| name \| current location \| notes row 1 : 1882 \| 283 \| 0-4-0st \| 1 ft 10 3⁄4 in (5 \| penrhyn quarry \| charles \| penrhyn castle railway museum \| None row 2 : 1883 \| 316 \| 0-4-0st \| 2 ft \| penrhyn quarry \| gwynedd \| bressingham steam museum \| penrhyn port class row 3 : 1883 \| 317 \| 0-4-0st \| 1 ft 11 1⁄2 in (5 \| penrhyn quarry \| lilian \| launceston steam railway \| penrhyn port class row 4 : 1889 \| 493 \| 0-4-0st \| 1 ft 11 3⁄4 in (6 \| dinorwic quarry \| elidir \| llanberis lake railway \| previously named "red damsel" row 5 : 1890 \| 518 \| 2-2-0t \| (1000mm) \| s.v.t. 8 \| tortosa-la cava1 \| tortosa (catalonia, spa \| None row 6 : 1891 \| 554 \| 0-4-0st \| 1 ft 11 1⁄2 in (5 \| cilgwyn quarry, then penr \| lilla \| ffestiniog railway \| None row 7 : 1894 \| 606 \| 0-4-0st \| 2 ft \| penrhyn quarry \| alan george \| teifi valley railway \| None row 8 : 1896 \| 652 \| 0-4-0st \| 1 ft 11 1⁄2 in (5 \| groby granite, then dinorwic \| lady madcap \| welsh highland heritage railway \| originally named sextus row 9 : 1898 \| 680 \| 0-4-0st \| 2 ft (610 mm) \| dinorwic quarry \| george b \| bala lake railway \| None row 10 : 1898 \| 684 \| 0-4-0wt \| 18 in (457 mm) \| john knowles co \| jack \| armley mills industrial museum, leed \| None row 11 : 1899 \| 705 \| 0-4-0st \| 2 ft (610 mm) \| penrhyn quarry \| elin \| yaxham light railway \| previously at the lincolnshire coast row 12 : 1901 \| 763 \| 0-4-0st \| 1 ft 11 1⁄2 in (5 \| dorothea quarry \| dorothea \| launceston steam railway \| None row 13 : 1903 \| 823 \| 0-4-0st \| 2 ft \| dinorwic quarry \| irish mail \| west lancashire light railway \| None row 14 : 1909 \| 994 \| 0-4-0st \| 2 ft \| penrhyn quarry \| bill harvey \| bressingham steam museum \| previously george sholto row 15 : 1918 \| 1312 \| 4-6-0t \| 1 ft 11 1⁄2 in (5 \| british war department efo \| None \| pampas safari, gravatai \| [citation needed] row 16 : 1920 \| 1404 \| 0-4-0wt \| 18 in (457 mm) \| john knowles co \| gwen \| richard farmer current owner, northridge, \| None row 17 : 1922 \| 1429 \| 0-4-0st \| 2 ft (610 mm) \| dinorwic \| lady joan \| bredgar and wormshill light \| None row 18 : 1922 \| 1430 \| 0-4-0st \| 1 ft 11 3⁄4 in (6 \| dinorwic quarry \| dolbadarn \| llanberis lake railway \| None ] Execute this SQL based on the above table: select gauge where name = 'elin'	2 ft (610 mm)
[ header: year \| laetare medalist \| position row 1 : 1884 \| patrick charles keely \| architect row 2 : 1889 \| anna hanson dorsey \| novelist row 3 : 1890 \| william j. onahan \| organizer of the american catholic congress row 4 : 1892 \| henry f. brownson \| philosopher and author row 5 : 1899 \| mary gwendolin caldwell \| philanthropist row 6 : 1906 \| francis j. quinlan \| physician row 7 : 1908 \| james c. monaghan \| economist row 8 : 1911 \| agnes repplier \| author row 9 : 1913 \| charles george herbermann \| editor of the catholic encyclopedia row 10 : 1916 \| james joseph wals \| physician and author row 11 : 1917 \| admiral william shepherd benson \| chief of naval operations row 12 : 1922 \| charles patrick neill \| economist row 13 : 1923 \| walter george smith \| lawyer row 14 : 1924 \| charles donagh maginnis \| architect row 15 : 1925 \| albert francis zahm \| scientist row 16 : 1927 \| margaret anglin \| actress row 17 : 1932 \| stephen j. maher \| physician row 18 : 1936 \| richard reid \| journalist and lawyer row 19 : 1941 \| william thomas wals \| journalist and author row 20 : 1942 \| helen constance white \| author and teacher row 21 : 1944 \| anne o'hare mc \| journalist row 22 : 1945 \| gardiner howland shaw \| diplomat row 23 : 1947 \| william g. bruce \| publisher and civic leader row 24 : 1950 \| general joseph l. collin \| soldier row 25 : 1952 \| thomas e. murray \| member of the u.s. atomic row 26 : 1953 \| i.a. o'sh \| philanthropist row 27 : 1956 \| general alfred m. gruent \| soldier row 28 : 1958 \| frank m. folsom \| industrialist row 29 : 1964 \| phyllis mcginley \| poet row 30 : 1966 \| patrick f. & patricia car \| founders of the christian movement row 31 : 1967 \| j. peter grace \| industrialist row 32 : 1968 \| robert sargent shriver \| diplomat row 33 : 1977 \| mike mansfield \| former senate majority leader row 34 : 1979 \| helen hayes \| actress row 35 : 1980 \| thomas p. (tip) \| speaker of the house row 36 : 1982 \| john francis cardinal dearden \| archbishop emeritus of row 37 : 1984 \| john t. noonan, j \| lawyer row 38 : 1990 \| sister thea bowman (posthumously) \| educator row 39 : 1996 \| sister helen prejean \| death penalty abolitionist row 40 : 1998 \| dr. edmund \| medical ethicist and educator row 41 : 1999 \| philip gleason \| professor emeritus of history, notre row 42 : 2008 \| martin sheen \| actor row 43 : 2009 \| not awarded (see below) \| None row 44 : 2010 \| dana gioia \| former chairman of national endowment for the arts row 45 : 2011 \| sister mary scullion, r \| social advocates ] Execute this SQL based on the above table: select laetare medalist order by year desc limit 1	sister mary scullion, r.s.m., & joan mcconnon
[ header: year \| division \| league \| regular season \| playoffs \| open cup row 1 : 2006 \| 4 \| usl pdl \| 4th, heartland \| did not qualify \| did not qualify row 2 : 2007 \| 4 \| usl pdl \| 2nd, heartland \| conference semifinals \| did not qualify row 3 : 2008 \| 4 \| usl pdl \| 4th, heartland \| did not qualify \| 1st round row 4 : 2009 \| 4 \| usl pdl \| 4th, heartland \| did not qualify \| did not qualify row 5 : 2010 \| 4 \| usl pdl \| 5th, heartland \| did not qualify \| did not qualify row 6 : 2011 \| 4 \| usl pdl \| 5th, heartland \| did not qualify \| did not qualify row 7 : 2012 \| 4 \| usl pdl \| 7th, heartland \| did not qualify \| did not qualify row 8 : 2013 \| 4 \| usl pdl \| 5th, heartland \| did not qualify \| did not qualify ] Execute this SQL based on the above table: select regular season where year > 1960 order by year desc limit 1	5th, heartland
[ header: date \| team \| name \| position \| years in nba \| notes row 1 : april 23, 2009 \| houston rockets \| dikembe mutombo \| c \| 18 \| suffered a season-ending injury row 2 : may 21, 2009 \| free agent \| sam cassell \| g \| 15 \| became an assistant coach of the wizards row 3 : september 3, 2009 \| free agent \| bruce bowen \| f \| 12 \| None row 4 : october 22, 2009 \| free agent \| mark madsen \| f \| 9 \| became an assistant coach of the uta row 5 : october 23, 2009 \| free agent \| bobby jackson \| g \| 12 \| None row 6 : october 23, 2009 \| free agent \| tyronn lue \| g \| 11 \| became the director of basketball development of the celtics row 7 : november 5, 2009 \| free agent \| darrick martin \| g \| 14 \| named assistant director of player development of timberwolves ] Execute this SQL based on the above table: select ( select years in nba where team = 'free agent' ) > ( select years in nba where team = 'free agent' )	0
[ header: name \| dates \| grt \| propulsion \| port \| notes row 1 : arataki i \| 1948-84 \| 74 \| 320 bhp diesel, 10 knot \| None \| us navy harbour tug row 2 : arataki ii \| 1984-99 \| 143 \| 1100 bhp diesel, 12 knot \| timaru \| harbour tug row 3 : hipi \| 1942-56 \| 39 \| 100 bhp diesel, 8 knots \| auckland \| towing lighters row 4 : kahanui \| 1942-45 \| 207 \| 800 ihp sr t \| wanganui \| harbour tug row 5 : manawanui i \| 1948-52 \| 74 \| 329 bhp diesel, 10 knot \| auckland \| us navy harbour tug row 6 : meola \| 1961- \| 19 \| 76 bhp diesel, 9 knot \| auckland \| work boat row 7 : toia \| 1926-49 \| 423 \| 1250 ihp sr \| wellington \| world war i saint class naval tug, ] Execute this SQL based on the above table: select count ( name ) where port = 'towing lighters'	0
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| vietnam (vie) \| 3 \| 0 \| 3 \| 6 row 2 : 2 \| south korea (kor) \| 2 \| 1 \| 2 \| 5 row 3 : 3 \| kyrgyzstan (kgz \| 1 \| 1 \| 2 \| 4 row 4 : 4 \| kazakhstan (kaz) \| 1 \| 1 \| 1 \| 3 row 5 : 5 \| iraq (irq) \| 1 \| 0 \| 1 \| 2 row 6 : 5 \| turkmenistan (tkm) \| 1 \| 0 \| 1 \| 2 row 7 : 7 \| jordan (jor) \| 0 \| 2 \| 3 \| 5 row 8 : 8 \| uzbekistan (uzb \| 0 \| 2 \| 1 \| 3 row 9 : 9 \| tajikistan (tjk) \| 0 \| 1 \| 1 \| 2 row 10 : 10 \| kuwait (kuw) \| 0 \| 1 \| 0 \| 1 row 11 : 11 \| independent athletes (aoi) \| 0 \| 0 \| 1 \| 1 row 12 : 11 \| mongolia (mgl) \| 0 \| 0 \| 1 \| 1 row 13 : 11 \| palestine (ple) \| 0 \| 0 \| 1 \| 1 row 14 : total \| total \| 9 \| 9 \| 18 \| 36 ] Execute this SQL based on the above table: select nation order by total desc limit 1	total
[ header: year \| winner \| second \| third \| starters row 1 : 2013 \| new year's day \| havana \| strong mandate \| 13 row 2 : 2012 \| shanghai bobby \| he's had enough \| capo bastone \| 9 row 3 : 2011 \| hansen \| union rags \| creative cause \| 13 row 4 : 2010 \| uncle mo \| boys at toscanova \| rogue romance \| 11 row 5 : 2009 \| vale of york \| lookin at lucky \| noble's promise \| 13 row 6 : 2008 \| midshipman \| square eddie \| street hero \| 12 row 7 : 2007 \| war pass \| pyro \| kodiak kowboy \| 11 row 8 : 2006 \| street sense \| circular quay \| great hunter \| 14 row 9 : 2005 \| stevie wonderboy \| henny hughes \| first samurai \| 14 row 10 : 2004 \| wilko \| afleet alex \| sun king \| 8 row 11 : 2003 \| action this day \| minister eric \| chapel royal \| 12 row 12 : 2002 \| vindication \| kafwain \| hold that tiger \| 13 row 13 : 2001 \| johannesburg \| repent \| siphonic \| 12 row 14 : 2000 \| macho uno \| point given \| street cry \| 14 row 15 : 1999 \| anees \| chief seattle \| high yield \| 14 row 16 : 1998 \| answer lively \| aly's alley \| cat thief \| 13 row 17 : 1997 \| favorite trick \| dawson's legacy \| nationalore \| 8 row 18 : 1996 \| boston harbor \| acceptable \| ordway \| 10 row 19 : 1995 \| unbridled's song \| hennessy \| editor's note \| 13 row 20 : 1994 \| timber country \| eltish \| tejano run \| 13 row 21 : 1993 \| brocco \| blumin affair \| tabasco cat \| 11 row 22 : 1992 \| gilded time \| it'sali'lknownfact \| river special \| 13 row 23 : 1991 \| arazi \| bertrando \| snappy landing \| 14 row 24 : 1990 \| fly so free \| take me out \| lost mountain \| 11 row 25 : 1989 \| rhythm \| grand canyon \| slavic \| 12 row 26 : 1988 \| is it true \| easy goer \| tagel \| 10 row 27 : 1987 \| success express \| regal classic \| tejano \| 13 row 28 : 1986 \| capote \| qualify \| alysheba \| 13 row 29 : 1985 \| tasso \| storm cat \| scat dancer \| 13 row 30 : 1984 \| chief's crown \| tank's prospect \| spend a buck \| 10 ] Execute this SQL based on the above table: select third where winner = 'street sense'	great hunter
[ header: rank \| player \| county \| tally \| total \| opposition row 1 : 1 \| eamonn flynn \| dublin \| 3-5 \| 14 \| wexford row 2 : 1 \| charlie mccarthy \| cork \| 2-8 \| 14 \| galway row 3 : 3 \| paddy fahy \| galway \| 2-7 \| 13 \| kildare row 4 : 5 \| charlie mccarthy \| cork \| 3-3 \| 12 \| offaly row 5 : 5 \| michael moroney \| clare \| 2-6 \| 12 \| dublin row 6 : 5 \| declan lovett \| kerry \| 1-9 \| 12 \| galway row 7 : 9 \| ger cuddy \| laois \| 3-2 \| 11 \| wicklow row 8 : 9 \| pat enright \| waterford \| 2-5 \| 11 \| kerry row 9 : 9 \| pat enright \| waterford \| 1-8 \| 11 \| laois row 10 : 9 \| johnny walsh \| kildare \| 0-11 \| 11 \| waterford row 11 : 9 \| eddie keher \| kilkenny \| 0-11 \| 11 \| wexford row 12 : 14 \| brendan cummins \| cork \| 3-1 \| 10 \| wexford row 13 : 14 \| p. j. molloy \| galway \| 3-1 \| 10 \| kerry row 14 : 14 \| nick behan \| kildare \| 3-1 \| 10 \| kerry row 15 : 14 \| seanie o'leary \| cork \| 3-1 \| 10 \| limerick row 16 : 14 \| michael keating \| tipperary \| 2-4 \| 10 \| wexford row 17 : 14 \| declan lovett \| kerry \| 2-4 \| 10 \| waterford row 18 : 14 \| michael keating \| tipperary \| 2-4 \| 10 \| dublin row 19 : 14 \| eddie keher \| kilkenny \| 2-4 \| 10 \| dublin row 20 : 14 \| mick dwan \| kildare \| 2-4 \| 10 \| antrim row 21 : 14 \| charlie mccarthy \| cork \| 1-7 \| 10 \| kilkenny row 22 : 14 \| paddy fahy \| galway \| 0-10 \| 10 \| kerry row 23 : 14 \| johnny walsh \| kildare \| 0-10 \| 10 \| westmeath row 24 : 27 \| p flynn \| wexford \| 3-0 \| 9 \| offaly row 25 : 27 \| n casey \| clare \| 3-0 \| 9 \| cork row 26 : 27 \| willie moore \| limerick \| 3-0 \| 9 \| cork row 27 : 27 \| ger cuddy \| laois \| 3-0 \| 9 \| westmeath row 28 : 27 \| tom ryan \| galway \| 3-0 \| 9 \| laois row 29 : 27 \| seanie o'leary \| cork \| 3-0 \| 9 \| offaly row 30 : 27 \| p flynn \| wexford \| 2-3 \| 9 \| cork row 31 : 27 \| eddie keher \| kilkenny \| 2-3 \| 9 \| limerick row 32 : 27 \| johnny walsh \| kildare \| 1-6 \| 9 \| galway row 33 : 27 \| francis loughnane \| tipperary \| 1-6 \| 9 \| cork row 34 : 27 \| richie bennis \| limerick \| 1-6 \| 9 \| cork row 35 : 27 \| pat enright \| waterford \| 0-9 \| 9 \| kildare row 36 : 27 \| johnny walsh \| kildare \| 0-9 \| 9 \| kerry ] Execute this SQL based on the above table: select rank where player = 'eddie keher'	9, 14, 27
[ header: sr. no. \| name \| from \| till \| occupation row 1 : 1 \| padamvir singh \| 2009 \| current \| ias row 2 : 2 \| rudhra gangadhara \| 06/04/2006 \| 02/09/2009 \| ias row 3 : 3 \| d.s. mathur \| 29/10/2004 \| 06/04/2006 \| ias row 4 : 4 \| binod kumar \| 20/01/2003 \| 15/10/2004 \| ias row 5 : 5 \| wajahat habibullah \| 08/11/2000 \| 13/01/2003 \| ias row 6 : 6 \| b.s. baswan \| 06/10/1996 \| 08/11/2000 \| ias row 7 : 7 \| n.c. saxena \| 25/05/1993 \| 06/10/1996 \| ias row 8 : 8 \| b.n. yugandhar \| 26/05/1988 \| 25/01/1993 \| ias row 9 : 9 \| r.n. chopra \| 06/06/1985 \| 29/04/1988 \| ias row 10 : 10 \| k. ramanujam \| 27/02/1984 \| 24/02/1985 \| ias row 11 : 11 \| r.k. shastri \| 09/11/1982 \| 27/02/1984 \| ias row 12 : 12 \| i.c. puri \| 16/06/1982 \| 11/10/1982 \| ias row 13 : 13 \| p.s. appu \| 02/08/1980 \| 01/03/1982 \| ias row 14 : 14 \| g.c.l. jone \| 23/07/1977 \| 30/06/1980 \| ias row 15 : 15 \| b.c. mathur \| 17/05/1977 \| 23/07/1977 \| ias row 16 : 16 \| rajeshwar prasa \| 11/05/1973 \| 11/04/1977 \| ias row 17 : 17 \| d.d. sathe \| 19/03/1969 \| 11/05/1973 \| ics row 18 : 18 \| k.k. das \| 12/07/1968 \| 24/02/1969 \| ics row 19 : 19 \| m.g. pimputkar \| 04/09/1965 \| 29/04/1968 \| ics row 20 : 20 \| s.k. dutta \| 13/08/1963 \| 02/07/1965 \| ics row 21 : 21 \| a.n. jha \| 01/09/1959 \| 30/09/1962 \| ics ] Execute this SQL based on the above table: select ( select sr. no. where name = 'wajahat habibullah' ) - ( select sr. no. where name = 'rajeshwar prasad' )	-11.0
[ header: selected latin american countries \| internl. tourism arrivals 2010 (x 1000) \| internl. tourism receipts. 2010 (usd (x1000) \| average receipt per visitor 2009 (usd/turista) \| tourist arrivals per 1000 inhab (estimated) 2007 \| receipts per capita 2005 usd \| revenues as % exports of goods and services 2003 \| tourism income % gdp 2003 \| % direct and indirect employment in tourism 2005 \| world ranking tourism competitiv. ttci 2011 \| 2011 ttci index row 1 : argentina \| 5288 \| 4930 \| 932 \| 115 \| 57 \| 7.4 \| 1.8 \| 9.1 \| 60 \| 4.2 row 2 : brazil \| 5161 \| 5919 \| 1147 \| 26 \| 18 \| 3.2 \| 0.5 \| 7 \| 52 \| 4.36 row 3 : chile \| 2766 \| 1636 \| 591 \| 151 \| 73 \| 5.3 \| 1.9 \| 6.8 \| 57 \| 4.27 row 4 : costa rica \| 2100 \| 2111 \| 1005 \| 442 \| 343 \| 17.5 \| 8.1 \| 13.3 \| 44 \| 4.43 row 5 : cuba \| 2507 \| None \| None \| 188 \| 169 \| None \| None \| None \| None \| None row 6 : dominican republic \| 4125 \| 4240 \| 1028 \| 408 \| 353 \| 36.2 \| 18.8 \| 19.8 \| 72 \| 3.99 row 7 : mexico \| 22395 \| 11872 \| 530 \| 201 \| 103 \| 5.7 \| 1.6 \| 14.2 \| 43 \| 4.43 row 8 : panama \| 1317 \| 1676 \| 1273 \| 330 \| 211 \| 10.6 \| 6.3 \| 12.9 \| 56 \| 4.3 row 9 : peru \| 2299 \| 2274 \| 989 \| 65 \| 41 \| 9 \| 1.6 \| 7.6 \| 69 \| 4.04 row 10 : uruguay \| 2352 \| 1496 \| 636 \| 525 \| 145 \| 14.2 \| 3.6 \| 10.7 \| 58 \| 4.24 ] Execute this SQL based on the above table: select count ( * )	10
[ header: airline \| airline (in russian) \| licence # \| icao \| iata \| domestic code \| callsign \| photo row 1 : aeroservice \| ооо «авиаком \| 408 \| None \| None \| юг \| None \| None row 2 : altay airlines \| алтаиское крае \| 333 \| None \| None \| бш \| None \| None row 3 : bural \| оао «авиаком \| 218 \| bun \| u4 \| бю \| bural \| None row 4 : flight inspections and systems \| зао «летные \| 467 \| lts \| None \| лт \| specair \| None row 5 : globus \| ооо «глобус \| 515 \| glp \| gh \| гл \| globus \| None row 6 : grozny avia \| оао «авиаком \| 519 \| goz \| zg \| гг \| groznyy avia \| None row 7 : i-fly \| ооо «аи фла \| 533 \| rsy \| h5 \| фл \| russian sky \| None row 8 : iraero \| зао «авиаком \| 480 \| iae \| io \| рд \| iraero \| None row 9 : kogalymavia \| ооо «авиаком \| 165 \| kgl \| 7k \| 7к \| kogalym \| None row 10 : mbks \| оао «мбк-с \| None \| plg \| None \| None \| pilgrim \| None row 11 : orenburg tsentralny airport \| федеральное \| 539 \| org \| o7 \| уэ \| orenavia \| None row 12 : panh aircompany \| ооо «авиаци \| 542 \| None \| None \| шс \| None \| None row 13 : polar airlines \| оао «авиаком \| 538 \| rka \| None \| яп \| air sakha \| None row 14 : rossiya \| оао «авиаком \| 2 \| sdm \| fv \| пл \| russia \| None row 15 : sokol \| зао «авиаком \| 284 \| piv \| None \| юп \| aerosokol \| None row 16 : utair express \| ооо «ютэир \| 504 \| utx \| ur \| юр \| kominter \| None ] Execute this SQL based on the above table: select count ( photo ) where icao = 3	0
[ header: name \| \| local names \| sort \| canton(s), neighboring countries \| area in km2 \| elevation m \| max. depth in meter row 1 : lake geneva \| None \| lac leman, lac de geneve \| geneva \| geneva, vaud, vala \| 580.03 \| 372 \| 310 row 2 : lake lucerne \| None \| vierwaldstattersee \| lucerne \| lucerne, nidwalden \| 113.72 \| 433.6 \| 214 row 3 : lake lugano \| None \| ceresio, lago di lug \| lugano \| ticino, italy \| 48.67 \| 270.5 \| 288 row 4 : lake thun \| None \| thunersee \| thun \| berne \| 47.74 \| 557.8 \| 215 row 5 : lake biel \| None \| lac de bienne, bielersee \| biel/bienne \| berne, neuchatel \| 39.51 \| 429.1 \| 74 row 6 : lake zug \| None \| zugersee \| zug \| lucerne, schwyz, \| 38.41 \| 413.6 \| 198 row 7 : lake murten \| None \| murtensee, lac de morat \| murten \| fribourg, vaud \| 22.8 \| 429.2 \| 46 row 8 : lake sempach \| None \| sempachersee \| sempach \| lucerne \| 14.36 \| 503.8 \| 87 row 9 : lago di livigno \| ↑ \| lago di livigno \| livignio \| italy, grisons \| 4.71 \| 1805 \| 119 row 10 : wagitalersee \| ↑ \| wagitalersee \| waegital \| schwyz \| 4.18 \| 900 \| 65 row 11 : lago di lei \| ↑ \| lago di lei \| lei \| italy, grisons \| 4.12 \| 1931 \| 133 row 12 : lake sils \| None \| silsersee, lej da se \| sils \| grisons \| 4.1 \| 1797 \| 71 row 13 : lac des dix \| ↑ \| lac des dix \| dix \| valais \| 3.65 \| 2365 \| 227 row 14 : lake wohlen \| ↑ \| wohlensee \| wohlen \| berne \| 3.65 \| 480 \| 20 row 15 : grimselsee \| ↑ \| grimselsee \| grimsel \| berne \| 2.63 \| 1908 \| 100 row 16 : lake lungern \| None \| lungerersee, lungernsee \| lungern \| obwalden \| 2.01 \| 688 \| 68 row 17 : lac de mauvoisin \| ↑ \| lac de mauvoisin \| mauvoisin \| valais \| 2.08 \| 1961 \| 180 row 18 : lago di vogorno \| ↑ \| lago di vogorno \| vogorno \| ticino \| 1.68 \| 470 \| 204 row 19 : zervreilasee \| ↑ \| zervreilasee \| zervreila \| grisons \| 1.61 \| 1862 \| 140 row 20 : oberaarsee \| ↑ \| oberaarsee \| oberaar \| berne \| 1.47 \| 2303 \| 90 row 21 : lac de moiry \| ↑ \| lac de moiry \| moiry \| valais \| 1.4 \| 2249 \| 120 row 22 : albigna lake \| ↑ \| lago da l'albigna \| albigna \| grisons \| 1.13 \| 2163 \| 108 ] Execute this SQL based on the above table: select name order by name desc limit 1	zervreilasee
[ header: party \| candidate(s) \| votes \| percentage row 1 : uup \| peter weir alan m \| 9270 \| 25.6 row 2 : uk unionist \| robert mccartney \| 7579 \| 20.9 row 3 : dup \| st clair mcalister rub \| 6699 \| 18.5 row 4 : alliance \| oliver napier brian wil \| 6186 \| 17.1 row 5 : sdlp \| owen adams john bur \| 1798 \| 5 row 6 : pup \| victor ash samuel \| 1694 \| 4.7 row 7 : ulster democratic \| james mccullough \| 651 \| 1.8 row 8 : ni women's coalition \| emma mcguigan an \| 496 \| 1.4 row 9 : conservative \| ann thompson bruce \| 444 \| 1.2 row 10 : independent chambers \| alan chambers james arbut \| 334 \| 0.9 row 11 : green (ni) \| paddy mcevoy mary ring \| 283 \| 0.8 row 12 : sinn fein \| mairtin o mulleoir \| 275 \| 0.8 row 13 : labour coalition \| john magennis sean m \| 171 \| 0.5 row 14 : independent dup \| thomas o'brien will \| 97 \| 0.3 row 15 : democratic left \| daryl armitage tim davis \| 95 \| 0.3 row 16 : workers' party \| dessie o'hagan colum \| 60 \| 0.2 row 17 : ulster independence \| geoffrey watson glenn \| 49 \| 0.1 row 18 : independent voice \| christopher carter fidelm \| 49 \| 0.1 row 19 : natural law \| peter mcgowan tho \| 15 \| 0 ] Execute this SQL based on the above table: select count ( * ) where candidate(s) = 'paddy mcevoy mary ringland'	0
[ header: operators \| named trains \| destination \| year begun \| year discontinued row 1 : baltimore and ohio \| capitol limited \| chicago, illinois via \| 1923 \| 1958 row 2 : baltimore and ohio \| metropolitan special \| st. louis, missouri \| ca. 1920 \| 1958 row 3 : baltimore and ohio \| national limited \| st. louis, missouri \| 1925 \| 1958 row 4 : baltimore and ohio \| royal blue \| washington, d.c \| 1890 \| 1958 row 5 : central railroad of new jersey \| blue comet \| atlantic city, new jersey \| 1929 \| 1941 row 6 : reading railroad with the central railroad of new jersey \| crusader \| philadelphia, pennsy \| 1937 \| 1967 row 7 : reading railroad with the central railroad of new jersey \| harrisburg special \| harrisburg, pennsyl \| None \| None row 8 : reading railroad with the central railroad of new jersey \| queen of the valley \| harrisburg, pennsyl \| None \| 1967 row 9 : reading railroad with the central railroad of new jersey \| wall street \| philadelphia, pennsy \| None \| None row 10 : reading railroad with the central railroad of new jersey \| williamsporter \| williamsport, pennsyl \| None \| None ] Execute this SQL based on the above table: select named trains where year discontinued = 1967	crusader, queen of the valley
[ header: name \| hanzi \| population (2005) \| area (km2) row 1 : qingxi \| 清溪镇 \| 20000 \| 2.9 row 2 : ruyi \| 如意镇 \| 15100 \| 33.85 row 3 : yintian \| 银田镇 \| 19500 \| 28 row 4 : daping \| 大坪乡 \| 14300 \| 32 row 5 : yongyi \| 永义乡 \| 10600 \| 24 row 6 : shaoshan \| 韶山乡 \| 14700 \| 37.62 row 7 : yanglin \| 杨林乡 \| 20600 \| 58.8 ] Execute this SQL based on the above table: select count ( hanzi ) where hanzi = '清溪镇'	1
[ header: year \| host \| gold \| silver \| bronze row 1 : 1976 \| paraguay (asuncion) \| brazil \| paraguay \| argentina row 2 : 1981 \| peru (lima) \| brazil \| colombia \| argentina row 3 : 1986 \| colombia (cucuta) \| brazil \| colombia \| peru row 4 : 1987 \| argentina (mar del plata) \| argentina \| brazil \| chile row 5 : 1990 \| ecuador (ibarra) \| brazil \| argentina \| ecuador row 6 : 1992 \| chile (santiago) \| brazil \| argentina \| colombia row 7 : 1995 \| brazil (sao ro \| colombia \| brazil \| argentina row 8 : 1996 \| ecuador (quito) \| argentina \| brazil \| colombia row 9 : 1998 \| chile (ancud) \| brazil \| argentina \| bolivia row 10 : 2000 \| venezuela (san feli \| brazil \| argentina \| venezuela row 11 : 2002 \| chile (santiago) \| ecuador \| chile \| paraguay row 12 : 2004 \| bolivia (quillacollo) \| brazil \| argentina \| bolivia row 13 : 2005 \| paraguay (asuncion) \| argentina \| brazil \| paraguay row 14 : 2007 \| venezuela (guanare) \| venezuela \| argentina \| brazil row 15 : 2009 \| chile (santiago) \| brazil \| chile \| argentina row 16 : 2011 \| colombia (pasto) \| colombia \| argentina \| brazil row 17 : 2013 \| ecuador (portoviejo) \| brazil \| argentina \| chile ] Execute this SQL based on the above table: select silver where id = ( select id where silver = 'chile' ) + 1	argentina
[ header: \| name on the register \| date listed \| location \| city or town \| summary row 1 : 40 \| highland park general hospital \| october 31, 1985 (#850 \| 357 glendale ave. \| highland park \| the highland park general hospital is a ] Execute this SQL based on the above table: select where = 40 order by desc limit 1	40
[ header: place \| player \| country \| score \| to par \| money ($) row 1 : t1 \| bobby jones (a) \| united states \| 69-75-71-79=2 \| 6 \| playoff row 2 : t1 \| al espinosa \| united states \| 70-72-77-75=294 \| 6 \| playoff row 3 : t3 \| gene sarazen \| united states \| 71-71-76-78=2 \| 8 \| 700 row 4 : t3 \| denny shute \| united states \| 73-71-76-76=2 \| 8 \| 700 row 5 : t5 \| tommy armour \| scotland united states \| 74-71-76-76=2 \| 9 \| 550 row 6 : t5 \| george von elm (a \| united states \| 79-70-74-74=2 \| 9 \| 0 row 7 : 7 \| henry ciuci \| united states \| 78-74-72-75=2 \| 11 \| 450 row 8 : t8 \| leo diegel \| united states \| 74-74-76-77=301 \| 13 \| 300 row 9 : t8 \| peter o'hara \| united states \| 74-76-73-78=301 \| 13 \| 300 row 10 : 10 \| horton smith \| united states \| 76-77-74-75=30 \| 14 \| 150 ] Execute this SQL based on the above table: select score where id = ( select id where score = '79-70-74-74=297' ) - 1	74-71-76-76=297
[ header: season \| network \| play-by-play \| color commentator(s) \| sideline reporter(s) row 1 : 1969 \| cbs \| jack whitaker \| frank gifford and don per \| None row 2 : 1968 \| cbs \| ray scott \| paul christman \| frank glieber row 3 : 1967 \| cbs \| frank glieber \| frank gifford \| None row 4 : 1966 \| cbs \| chuck thompson \| tom brookshier \| None row 5 : 1965 \| cbs \| frank glieber (first half \| pat summerall \| None row 6 : 1964 \| cbs \| jack drees (first half \| frank gifford \| None row 7 : 1963 \| cbs \| ray scott (first half) and \| frank gifford \| None row 8 : 1962 \| cbs \| chris schenkel (first half \| warren lahr \| None row 9 : 1961 \| cbs \| chris schenkel (first half \| johnny lujack \| None ] Execute this SQL based on the above table: select color commentator(s) where id = ( select id where color commentator(s) = 'frank gifford' ) - 1	paul christman
[ header: \| 'be' \| 'remain' \| 'give' \| 'save' row 1 : 1st sg \| esmi \| liekmi \| duomi \| gelbmi row 2 : 2nd sg \| esi \| lieksi \| duosi \| gelbsi row 3 : 3rd sg \| est(i) \| liekt(i) \| duost(i) \| gelbt(i) row 4 : 1st dual \| esva \| liekva \| duova \| gelbva row 5 : 2nd dual \| esta \| liekta \| duosta \| gelbta row 6 : 1st pl \| esme \| liekme \| duome \| gelbme row 7 : 2nd pl \| este \| liekte \| duoste \| gelbte row 8 : 3rd pl \| esti \| liekt(i) \| duost(i) \| gelbt(i) ] Execute this SQL based on the above table: select 'save' where 'be' = 'esva'	gelbva
[ header: model name \| length \| width \| height \| riders \| capacity \| description \| portable \| notes row 1 : skater \| 21.5 m (71 ft) \| 11.65 m (38.2 f \| 10.69 m (35.1 ft) \| 24 \| 600 \| small halfpipe with inwards-facing seats \| yes \| row 2 : disk'o \| 24.55 m (80.5 ft \| 9.68 m (31.8 ft) \| 10 m (33 ft) \| 24 \| 600 \| small halfpipe with outwards-facing seats \| yes \| row 3 : surf's up \| 29 m (95 ft) \| 11 m (36 ft) \| 7.5 m (25 ft) \| 20 \| 480 \| small halfpipe with hill in middle. guests stand \| yes \| row 4 : mega disk'o \| 37.5 m (123 ft) \| 10 m (33 ft) \| 15.5 m (51 ft) \| 24 \| 600 \| large halfpipe with outwards-facing seats \| no \| row 5 : mega disk'o \| 37.5 m (123 ft) \| 10 m (33 ft) \| 15.5 m (51 ft) \| 40 \| 1000 \| large halfpipe with outwards-facing seats \| no \| row 6 : skater coaster \| None \| None \| None \| None \| None \| large halfpipe with hill in middle. inward \| None \| row 7 : disk'o coaster \| 81.5 m (267 ft) \| 11.3 m (37 ft) \| 15.5 m (51 ft) \| 24 \| 500 \| large halfpipe with hill in middle. outward \| no \| row 8 : disk'o coaster \| 81.5 m (267 ft) \| 11.3 m (37 ft) \| 15.5 m (51 ft) \| 40 \| 600 \| large halfpipe with hill in middle. outward \| no \| ] Execute this SQL based on the above table: select count ( model name )	8
[ header: pos \| rider \| manufacturer \| time/retired \| points row 1 : 1 \| tohru ukawa \| honda \| 49:50.449 \| 25 row 2 : 2 \| franco battaini \| aprilia \| 5.125 \| 20 row 3 : 3 \| loris capirossi \| honda \| 10.224 \| 16 row 4 : 4 \| shinya nakano \| yamaha \| 14.848 \| 13 row 5 : 5 \| stefano perugini \| honda \| 34.042 \| 11 row 6 : 6 \| sebastian porto \| yamaha \| 37.495 \| 10 row 7 : 7 \| jason vincent \| honda \| 44.911 \| 9 row 8 : 8 \| valentino rossi \| aprilia \| +1:01.110 \| 8 row 9 : 9 \| anthony west \| tsr-honda \| +1:10.352 \| 7 row 10 : 10 \| alex hofmann \| tsr-honda \| +1:18.683 \| 6 row 11 : 11 \| luca boscoscuro \| tsr-honda \| +1:20.847 \| 5 row 12 : 12 \| lucas oliver bulto \| yamaha \| +1:23.052 \| 4 row 13 : 13 \| roberto rolfo \| aprilia \| +1:24.329 \| 3 row 14 : 14 \| masaki tokudome \| tsr-honda \| +1:26.837 \| 2 row 15 : 15 \| fonsi nieto \| yamaha \| +1:45.669 \| 1 row 16 : 16 \| david garcia \| yamaha \| +1:48.926 \| None row 17 : 17 \| scott smart \| aprilia \| +1:49.730 \| None row 18 : 18 \| alex debon \| honda \| +1 lap \| None row 19 : 19 \| jarno janssen \| tsr-honda \| +1 lap \| None row 20 : ret \| alvaro molina \| honda \| retirement \| None row 21 : ret \| julien allemand \| tsr-honda \| retirement \| None row 22 : ret \| ismael bonilla \| honda \| retirement \| None row 23 : ret \| daniel ribalta \| aprilia \| retirement \| None row 24 : ret \| maurice bolwerk \| honda \| retirement \| None row 25 : ret \| tomomi manako \| yamaha \| retirement \| None row 26 : ret \| johann stigefelt \| yamaha \| retirement \| None row 27 : ret \| olivier jacque \| yamaha \| retirement \| None row 28 : ret \| jeremy mcwilliams \| aprilia \| retirement \| None row 29 : ret \| david ortega \| tsr-honda \| retirement \| None row 30 : ret \| alfredo rios \| aprilia \| retirement \| None row 31 : ret \| ralf waldmann \| aprilia \| retirement \| None ] Execute this SQL based on the above table: select min ( points ) where points < 6	1.0
[ header: from \| to \| name \| party \| position row 1 : 1850 \| 1862 \| m. borgarelli d' \| None \| colonel of infantry e.r row 2 : 1862 \| 1869 \| jules alfred le tourneur du \| None \| first secretary for the minister of finance row 3 : 1869 \| 1903 \| stanislas le tourneur d \| None \| attached to the taxation administration of france row 4 : None \| None \| yves le tourneur d' \| None \| doctor of juridical science row 5 : 1966 \| 1989 \| maurice lecoq \| None \| market gardener row 6 : 1989 \| 2008 \| michel deuzet \| se \| farmer row 7 : 2008 \| 2014 \| patrice martin \| se \| bank officer ] Execute this SQL based on the above table: select ( select to where id = 1 ) >= 'None'	0
[ header: season \| average \| high \| low \| season tickets row 1 : 2001-02 serie a \| 17956 \| 27498 \| 14704 \| 12156 row 2 : 2002-03 serie a \| 16306 \| 25603 \| 12980 \| 11544 row 3 : 2003-04 serie a \| 15904 \| 23663 \| 11463 \| 10439 row 4 : 2004-05 serie a \| 14044 \| 23010 \| 10711 \| 9923 row 5 : 2005-06 serie a \| 14372 \| 23116 \| 11575 \| 10639 row 6 : 2006-07 serie a \| 14644 \| 20488 \| 11946 \| 11120 row 7 : 2007-08 serie a \| 15427 \| 25149 \| 11890 \| 11386 row 8 : 2008-09 serie b \| 10031 \| 12265 \| 9261 \| None row 9 : 2009-10 serie a \| 17061 \| 21323 \| 11870 \| 13691 row 10 : 2010-11 serie a \| 14524 \| 19615 \| 11975 \| 10578 row 11 : 2011-12 serie a \| 13646 \| 19481 \| 10800 \| 9620 row 12 : 2012-13 serie a \| 12740 \| 19073 \| 9627 \| 10546 ] Execute this SQL based on the above table: select count ( * ) where season = '2007-08 serie a'	1
[ header: year \| title \| image \| dimensions \| collection \| comments row 1 : 1942 \| assassination of heydrich \| view \| 61.4 × 76.1 cm. (24.2 \| the national archives, kew, richmond \| subject: ss-general reinhard row 2 : 1944 \| production of tanks (original may have been untitled \| view \| 51.3 × 61.5 cm. (20.2 \| the national archives, kew, richmond \| scene: workers manufacture churchill tanks on a row 3 : 1968 \| express engines at tyseley, \| view view \| 75 × 100 cm. (29.5 × \| None \| scene: rolling stock-london, mid row 4 : 1972 \| field marshall viscount montgomery of \| view \| 125 × 100 cm. (49. \| defence academy of the united kingdom, shriven \| subject: field marshal bernard law row 5 : 1971 \| sir edward heath \| view \| 123 × 99 cm. (48. \| balliol college, university of o \| subject: sir edward heath row 6 : 1972 \| self portrait \| None \| None \| None \| None row 7 : None \| her majesty the queen with her dogs \| see cuneo society website \| None \| None \| subject: queen elizabeth row 8 : None \| bentley vs the blue train \| view see cuneo society website \| None \| None \| scene: 1930 cannes to calais ] Execute this SQL based on the above table: select comments where year = 1971 order by id desc limit 1	subject: sir edward heath (1916-2005), kg, organ scholar (1935-1939), honorary fellow (1969), prime minister (1970-1974)
[ header: tie no \| home team \| score \| away team \| attendance row 1 : 1 \| ifk vasteras (d2) \| 3-2 \| ik sleipner (d \| 875 row 2 : 2 \| kramfors if (n) \| 2-4 (aet) \| bk kenty (d3) \| 2808 row 3 : 3 \| reymersholms ik \| 5-2 \| atvidabergs ff (d \| 1504 row 4 : 4 \| wifsta/ostrands if \| 4-3 \| ludvika ffi \| 974 row 5 : 5 \| raa if (d3) \| 3-2 \| sandvikens if (d \| 2116 row 6 : 6 \| sandvikens aik \| 2-3 (aet) \| tidaholms g \| 822 row 7 : 7 \| karlstads bik (d \| 2-5 \| if friska viljor (n) \| 1550 row 8 : 8 \| sandviks ik (n \| 2-3 \| surahammars if (d2) \| None ] Execute this SQL based on the above table: select home team where home team in ( 'kramfors if (n)' , 'raa if (d3)' ) order by tie no desc limit 1	raa if (d3)
[ header: no. \| name \| public access \| location & map links \| area ha \| area acres \| references row 1 : 1 \| aversley wood \| \| 52°25′25′′n 0° \| 61 \| 151 \| sssi wt row 2 : 2 \| balsham wood \| \| 52°07′19′′n 0° \| 35 \| 85 \| sssi row 3 : 3 \| bedford purlieus nnr \| \| 52°35′00′′n 0° \| 208 \| 514 \| sssi nnr row 4 : 4 \| brampton wood \| \| 52°19′02′′n 0° \| 132 \| 326 \| sssi bcnp row 5 : 7 \| gamlingay wood \| \| 52°09′57′′n 0° \| 46 \| 114 \| sssi bcnp row 6 : 8 \| hardwick wood \| \| 52°11′57′′n 0° \| 17 \| 42 \| sssi bcnp row 7 : 9 \| hayley wood \| \| 52°09′33′′n 0° \| 52 \| 129 \| sssi bcnp row 8 : 11 \| langley wood \| \| 52°03′24′′n 0° \| 31 \| 77 \| sssi row 9 : 13 \| madingley wood \| \| 52°13′00′′n 0° \| 15 \| 38 \| sssi row 10 : 14 \| monks wood nnr \| \| 52°24′18′′n 0° \| 170 \| 420 \| sssi nnr row 11 : 15 \| out and plunder woods \| \| 52°10′03′′n 0° \| 28 \| 69 \| sssi row 12 : 16 \| over and lawn woods \| \| 52°06′35′′n 0° \| 45 \| 111 \| sssi row 13 : 18 \| ten wood \| \| 52°10′31′′n 0° \| 17 \| 42 \| sssi row 14 : 20 \| warboy's and wistow wood \| \| 52°25′11′′n 0° \| 42 \| 103 \| sssi row 15 : 21 \| waresley wood \| \| 52°10′37′′n 0° \| 62 \| 153 \| sssi ] Execute this SQL based on the above table: select count ( name )	15
[ header: year \| division \| league \| regular season \| playoffs \| open cup row 1 : 2006 \| 4 \| usl pdl \| 5th, northwest \| did not qualify \| did not qualify row 2 : 2007 \| 4 \| usl pdl \| 2nd, northwest \| conference semifinals \| did not qualify row 3 : 2008 \| 4 \| usl pdl \| 1st, northwest \| conference finals \| did not qualify row 4 : 2009 \| 4 \| usl pdl \| 7th, northwest \| did not qualify \| did not qualify row 5 : 2010 \| 4 \| usl pdl \| 3rd, northwest \| did not qualify \| did not qualify row 6 : 2011 \| 4 \| usl pdl \| 8th, northwest \| did not qualify \| did not qualify row 7 : 2012 \| 4 \| usl pdl \| 1st, northwest \| semifinals \| did not qualify row 8 : 2013 \| 4 \| usl pdl \| 4th, northwest \| did not qualify \| 2nd round ] Execute this SQL based on the above table: select count ( playoffs )	8
[ header: # \| date \| venue \| opponent \| score \| result \| competition row 1 : 1 \| 10 january 1996 \| edison international field, ana \| honduras \| 1-0 \| 3-1 \| 1996 concacaf gold cup row 2 : 2 \| 30 august 1996 \| commonwealth stadium, edmont \| panama \| 3-1 \| 3-1 \| 1998 fifa world cup qualification row 3 : 3 \| 12 october 1997 \| commonwealth stadium, edmont \| mexico \| 2-1 \| 2-2 \| 1998 fifa world cup qualification row 4 : 4 \| 8 october 1999 \| los angeles memorial coliseum \| el salvador \| 1-0 \| 2-1 \| 2000 concacaf gold cup qualification play off row 5 : 5 \| 10 october 1999 \| los angeles memorial coliseum \| haiti \| 1-0 \| 2-1 \| 2000 concacaf gold cup qualification play off row 6 : 6 \| 10 october 1999 \| los angeles memorial coliseum \| haiti \| 2-0 \| 2-2 \| 2000 concacaf gold cup qualification play off row 7 : 7 \| 13 february 2000 \| qualcomm stadium, san die \| costa rica \| 1-1 \| 2-2 \| 2000 concacaf gold cup row 8 : 8 \| 13 february 2000 \| qualcomm stadium, san die \| costa rica \| 2-2 \| 2-2 \| 2000 concacaf gold cup row 9 : 9 \| 20 february 2000 \| qualcomm stadium, san die \| mexico \| 1-1 \| 2-1 \| 2000 concacaf gold cup row 10 : 10 \| 27 february 2000 \| los angeles memorial coliseum \| colombia \| 2-0 \| 2-0 \| 2000 concacaf gold cup row 11 : 11 \| 18 january 2004 \| bridgetown, barbados \| barbados \| 1-0 \| 1-0 \| friendly match ] Execute this SQL based on the above table: select avg ( # )	6.0
[ header: \| \| \| \| \| \| \| \| \| \| row 1 : 2010s \| 2010 \| 2011 \| 2012 \| 2013 \| 2014 \| 2015 \| 2016 \| 2017 \| 2018 \| None row 2 : 2000s \| 2000 \| 2001 \| 2002 \| 2003 \| 2004 \| 2005 \| 2006 \| 2007 \| 2008 \| 2009 row 3 : 1990s \| 1990 \| 1991 \| 1992 \| 1993 \| 1994 \| 1995 \| 1996 \| 1997 \| 1998 \| 1999 row 4 : 1980s \| 1980 \| 1981 \| 1982 \| 1983 \| 1984 \| 1985 \| 1986 \| 1987 \| 1988 \| 1989 row 5 : 1970s \| 1970 \| 1971 \| 1972 \| 1973 \| 1974 \| 1975 \| 1976 \| 1977 \| 1978 \| 1979 row 6 : 1960s \| 1960 \| 1961 \| 1962 \| 1963 \| 1964 \| 1965 \| 1966 \| 1967 \| 1968 \| 1969 row 7 : 1950s \| 1950 \| 1951 \| 1952 \| 1953 \| 1954 \| 1955 \| 1956 \| 1957 \| 1958 \| 1959 row 8 : 1940s \| 1940 \| 1941 \| 1942 \| 1943 \| 1944 \| 1945 \| 1946 \| 1947 \| 1948 \| 1949 row 9 : 1930s \| 1930 \| 1931 \| 1932 \| 1933 \| 1934 \| 1935 \| 1936 \| 1937 \| 1938 \| 1939 row 10 : 1920s \| 1920 \| 1921 \| 1922 \| 1923 \| 1924 \| 1925 \| 1926 \| 1927 \| 1928 \| 1929 row 11 : 1910s \| 1910 \| 1911 \| 1912 \| 1913 \| 1914 \| 1915 \| 1916 \| 1917 \| 1918 \| 1919 row 12 : 1900s \| 1900 \| 1901 \| 1902 \| 1903 \| 1904 \| 1905 \| 1906 \| 1907 \| 1908 \| 1909 row 13 : 1890s \| 1890 \| 1891 \| 1892 \| 1893 \| 1894 \| 1895 \| 1896 \| 1897 \| 1898 \| 1899 row 14 : 1880s \| 1880 \| 1881 \| 1882 \| 1883 \| 1884 \| 1885 \| 1886 \| 1887 \| 1888 \| 1889 row 15 : 1870s \| 1870 \| 1871 \| 1872 \| 1873 \| 1874 \| 1875 \| 1876 \| 1877 \| 1878 \| 1879 ] Execute this SQL based on the above table: select order by desc limit 1	2010s
[ header: rank \| bib \| athlete \| country \| time \| deficit \| note row 1 : 8 \| 37 \| laure barthelemy \| france \| 3:08.53 \| 4.64 \| q row 2 : 10 \| 27 \| magda genuin \| italy \| 3:09.91 \| 6.02 \| q row 3 : 11 \| 16 \| arianna follis \| italy \| 3:10.41 \| 6.52 \| q row 4 : 12 \| 24 \| celine brun-lie \| norway \| 3:10.45 \| 6.56 \| q row 5 : 21 \| 40 \| riikka sarasoja \| finland \| 3:13.49 \| 9.6 \| q row 6 : 24 \| 9 \| perianne jones \| canada \| 3:13.95 \| 10.06 \| q row 7 : 26 \| 21 \| anastasia dotsenko \| russia \| 3:15.03 \| 11.14 \| q row 8 : 27 \| 33 \| daria gaiazova \| canada \| 3:15.10 \| 11.21 \| q row 9 : 29 \| 7 \| jessica diggins \| united states \| 3:15.24 \| 11.35 \| q row 10 : 32 \| 38 \| natalya korostelyova \| russia \| 3:15.83 \| 11.94 \| None row 11 : 37 \| 26 \| madoka natsumi \| japan \| 3:17.89 \| 14 \| None row 12 : 38 \| 28 \| pirjo muranen \| finland \| 3:18.21 \| 14.32 \| None row 13 : 39 \| 54 \| elena soboleva \| russia \| 3:19.55 \| 15.66 \| None row 14 : 40 \| 11 \| elena kolomina \| kazakhstan \| 3:20.17 \| 16.28 \| None row 15 : 53 \| 59 \| rosamund musgrave \| united kingdom \| 3:26.34 \| 22.45 \| None row 16 : 54 \| 1 \| anastasia slonova \| kazakhstan \| 3:26.51 \| 22.62 \| None row 17 : 56 \| 4 \| piret pormeister \| estonia \| 3:27.34 \| 23.45 \| None row 18 : 57 \| 64 \| maryna antsybor \| ukraine \| 3:28.17 \| 24.28 \| None row 19 : 62 \| 63 \| monika gyorgy \| romania \| 3:32.20 \| 28.31 \| None row 20 : 63 \| 71 \| niviaq chemnitz \| denmark \| 3:32.56 \| 28.67 \| None row 21 : 67 \| 67 \| zoya zaviediei \| ukraine \| 3:38.21 \| 31.32 \| None row 22 : 74 \| 86 \| irina khodiakov \| kyrgyzstan \| 3:52.24 \| 48.35 \| None row 23 : 78 \| 77 \| agnes simon \| hungary \| 4:04.44 \| +1:00.55 \| None row 24 : 82 \| 73 \| syuzanna varosyan \| armenia \| 4:25.77 \| +1:21.88 \| None row 25 : 84 \| 76 \| valya varosyan \| armenia \| 4:30.74 \| +1:26.85 \| None row 26 : 85 \| 80 \| zane eglite \| latvia \| 4:37.37 \| +1:33.48 \| None row 27 : None \| 61 \| brooke gosling \| canada \| dns \| None \| None ] Execute this SQL based on the above table: select count ( * ) where note = 'None'	0
[ header: rank \| athlete \| country \| time \| notes row 1 : None \| kaija mustonen \| finland \| 2:22.4 \| or row 2 : None \| carry geijssen \| netherlands \| 2:22.7 \| None row 3 : None \| stien kaiser \| netherlands \| 2:24.5 \| None row 4 : 4 \| sigrid sundby-dy \| norway \| 2:25.2 \| None row 5 : 5 \| lasma kauniste \| soviet union \| 2:25.4 \| None row 6 : 6 \| kaija-liisa \| finland \| 2:25.8 \| None row 7 : 7 \| lyudmila titova \| soviet union \| 2:26.8 \| None row 8 : 8 \| ruth schleiermacher \| east germany \| 2:27.1 \| None row 9 : 9 \| christina lindblom-scher \| sweden \| 2:27.5 \| None row 10 : 9 \| hildegard sellhuber \| west germany \| 2:27.5 \| None row 11 : 11 \| lidiya skoblikova \| soviet union \| 2:27.6 \| None row 12 : 12 \| ans schut \| netherlands \| 2:28.3 \| None row 13 : 13 \| dianne holum \| united states \| 2:28.5 \| None row 14 : 14 \| martine ivangine \| france \| 2:29.9 \| None row 15 : 14 \| kari karing \| norway \| 2:29.9 \| None row 16 : 16 \| jeanne ashworth \| united states \| 2:30.3 \| None row 17 : 17 \| lisbeth korsmo \| norway \| 2:30.7 \| None row 18 : 18 \| christina karlsson \| sweden \| 2:31.4 \| None row 19 : 18 \| sachiko saito \| japan \| 2:31.4 \| None row 20 : 20 \| ylva hedlund \| sweden \| 2:31.5 \| None row 21 : 21 \| doreen mccannell \| canada \| 2:32.2 \| None row 22 : 22 \| arja kantola \| finland \| 2:33.2 \| None row 23 : 23 \| kaname ide \| japan \| 2:34.2 \| None row 24 : 24 \| marcia parsons \| canada \| 2:34.4 \| None row 25 : 25 \| jeanne omelenchuk \| united states \| 2:35.5 \| None row 26 : 26 \| jitsuko saito \| japan \| 2:36.6 \| None row 27 : 27 \| kim gwi-jin \| south korea \| 2:36.7 \| None row 28 : 28 \| marie-louise perrenou \| france \| 2:39.2 \| None row 29 : 29 \| patricia demartini \| france \| 2:40.6 \| None row 30 : 30 \| paula dufter \| west germany \| 2:45.2 \| None ] Execute this SQL based on the above table: select athlete where country = 'united states'	dianne holum, jeanne ashworth, jeanne omelenchuk
[ header: sheriff \| start of term row 1 : josiah hobart \| 1683 row 2 : john mulford \| 1701 row 3 : hugh gray \| 1702 row 4 : john brush \| 1710 row 5 : daniel youngs \| 1718 row 6 : samuel dayton \| 1723 row 7 : william sell \| 1728 row 8 : joseph smith \| 1730 row 9 : david corrie \| 1731 row 10 : jacob conklin \| 1734 row 11 : thomas higbe \| 1740 row 12 : james muirson \| 1774 row 13 : thomas wickes \| 1785 row 14 : silas halsey \| 1787 row 15 : thomas wickes \| 1791 row 16 : phinaes carll \| 1799 row 17 : josiah reeve \| 1803 row 18 : phinaes smith \| 1807 row 19 : josiah reeve \| 1808 row 20 : benjamin brewster \| 1810 row 21 : josiah reeve \| 1811 row 22 : benjamin brewster \| 1812 row 23 : nathaniel conklin \| 1814 row 24 : josiah reeve \| 1815 row 25 : samuel smith \| 1826 row 26 : abraham gardiner \| 1829 row 27 : richard smith \| 1832 row 28 : silas horton \| 1835 row 29 : samuel miller \| 1838 row 30 : david brush \| 1841 row 31 : henry penny \| 1844 row 32 : david rose \| 1847 row 33 : john clark \| 1850 row 34 : samuel phillips \| 1855 row 35 : george carman \| 1856 row 36 : daniel osborn \| 1862 row 37 : george smith \| 1868 row 38 : j. henry perkins \| 1871 row 39 : egbert lewis \| 1874 row 40 : george cooper \| 1877 row 41 : robert petty \| 1888 row 42 : selah brewster \| 1883 row 43 : henry halsey \| 1886 row 44 : robert petty \| 1888 row 45 : a. m. darling \| 1891 row 46 : benjamin wood \| 1897 row 47 : j. sheridan wells \| 1900 row 48 : henry preston \| 1903 row 49 : john wells \| 1906 row 50 : charles platt \| 1909 row 51 : melville brush \| 1912 row 52 : d. henry brown \| 1913 row 53 : charles o'dell \| 1914 row 54 : john kelly \| 1920 row 55 : amza biggs \| 1923 row 56 : burton howe \| 1926 row 57 : ellis taylor \| 1929 row 58 : joseph warta \| 1932 row 59 : william mccollom \| 1935 row 60 : jacob dreyer \| 1938 row 61 : john levy \| 1941 row 62 : william mccollom \| 1942 row 63 : charles dominy \| 1957 row 64 : frank gross \| 1962 row 65 : philip corso \| 1970 row 66 : donald dilworth \| 1976 row 67 : john finnerty \| 1977 row 68 : eugene dooley \| 1986 row 69 : patrick mahoney \| 1990 row 70 : alfred c. tisch \| 2002 row 71 : vincent f. demarco \| 2006 ] Execute this SQL based on the above table: select start of term where sheriff = 'd. henry brown'	1913
[ header: team \| location \| stadium \| capacity \| manager \| captain \| kit manufacturer \| shirt sponsor row 1 : auckland city fc \| auckland \| kiwitea street \| 3500 \| ramon tribulietx \| ivan vicelich \| nike \| trillian trust inc row 2 : canterbury united \| christchurch \| asb football park \| 9000 \| keith braithwaite \| dan terris \| samurai \| robbie's bar and bistro row 3 : hawke's bay united \| napier \| bluewater stadium \| 5000 \| chris greatholder \| bill robertson \| samurai \| kinetic electrical row 4 : otago united \| dunedin \| forsyth barr stadium \| 30500 \| richard murray \| tristan prattley \| canterbury \| gran's remedy row 5 : team wellington \| wellington \| david farrington park \| 3000 \| matt calcott \| karl whalen \| adidas \| exodus health & fitness club row 6 : waikato fc \| hamilton \| porritt stadium \| 2700 \| mark cossey \| adam thomas \| nike \| the soccer shop row 7 : waitakere united \| waitakere city \| fred taylor park \| 2500 \| paul marshall \| jake butler \| lotto sport italia \| cuesports foundation row 8 : youngheart manawatu \| palmerston north \| memorial park \| 8000 \| stu jacobs \| nathan cooksley \| nike \| new zealand pharmaceuticals ] Execute this SQL based on the above table: select count ( stadium ) where manager = 'chris greatholder'	1
[ header: year \| position row 1 : 1957 \| did not enter row 2 : 1959 \| did not enter row 3 : 1962 \| did not enter row 4 : 1963 \| did not enter row 5 : 1965 \| did not enter row 6 : 1968 \| did not qualify row 7 : 1970 \| did not qualify row 8 : 1972 \| round 1 row 9 : 1974 \| withdrew row 10 : 1976 \| did not qualify row 11 : 1978 \| did not qualify row 12 : 1980 \| did not qualify row 13 : 1982 \| did not qualify row 14 : 1984 \| round 1 row 15 : 1986 \| did not qualify row 16 : 1988 \| did not qualify row 17 : 1990 \| withdrew row 18 : 1992 \| did not qualify row 19 : 1994 \| withdrew during qualifying row 20 : 1996 \| did not qualify row 21 : 1998 \| round 1 row 22 : 2000 \| round 1 row 23 : 2002 \| round 1 row 24 : 2004 \| did not qualify row 25 : 2006 \| round 1 row 26 : 2008 \| did not qualify row 27 : 2010 \| withdrew due to rebel attack row 28 : 2012 \| did not qualify row 29 : 2013 \| quarter-final ] Execute this SQL based on the above table: select position order by id desc limit 1	quarter-final
[ header: series \| year \| rank \| average audience share row 1 : 1 \| 1992 \| None \| 14.50m row 2 : 2 \| 1993 \| None \| None row 3 : 3 \| 1993 \| None \| None row 4 : 4 \| 1994 \| None \| None row 5 : 5 \| 1995 \| None \| None row 6 : 6 \| 1996 \| None \| 14.60m row 7 : 7 \| 1997-1998 \| None \| 15.82m row 8 : 8 \| 1998-1999 \| 5th \| 14.35m row 9 : 9 \| 1999-2000 \| 6th \| 13.71m row 10 : 10 \| 2000-2001 \| 5th \| 13.21m row 11 : 11 \| 2001-2002 \| 6th \| 10.77m row 12 : 12 \| 2002-2003 \| 7th \| 11.29m row 13 : 13 \| 2003-2004 \| 8th \| 13.11m row 14 : 14 \| 2004-2005 \| 10th \| 8.77m row 15 : 15 \| 2005-2006 \| 10th \| 8.42m row 16 : 16 \| 2006-2007 \| 8th \| 7.80m row 17 : 17 \| 2007-2008 \| 11th \| 6.90m row 18 : 18 \| 2008-2010 \| 15th \| 5.44m (incl. itv ] Execute this SQL based on the above table: select rank where id = ( select id where rank = '10th' ) - 1	8th
[ header: edition \| year \| men's winner \| time (m:s) \| women's winner \| time (m:s) row 1 : 1st \| 1990 \| marti ten kate (n \| 47:52 \| alison gooderham (gbr \| 56:09 row 2 : 2nd \| 1991 \| thomas naali (t \| 47:11 \| olga bondarenko (urs \| 53:16 row 3 : 3rd \| 1992 \| boay akonay (t \| 47:04 \| iulia negura (rom) \| 53:19 row 4 : 4th \| 1993 \| gary staines (gbr) \| 46:11 \| iulia negura (rom) \| 53:01 row 5 : 5th \| 1994 \| gary staines (gbr) \| 47:00 \| gitte karlshø \| 54:49 row 6 : 6th \| 1995 \| benson masya (ken) \| 45:56 \| liz mccolgan (gb \| 53:12 row 7 : 7th \| 1996 \| gary staines (gbr) \| 46:57 \| derartu tulu (eth) \| 52:39 row 8 : 8th \| 1997 \| christopher kelong (ken) \| 46:53 \| liz mccolgan (gb \| 52:00 row 9 : 9th \| 1998 \| stephane franke (ger) \| 47:40 \| marian sutton (gbr) \| 54:17 row 10 : 10th \| 1999 \| simon kasimili (ken) \| 47:42 \| esther kiplagat (ken) \| 54:42 row 11 : 11th \| 2000 \| gert thys (rs \| 48:26 \| restituta joseph (tan \| 55:10 row 12 : 12th \| 2001 \| khalid skah (mar) \| 46:17 \| restituta joseph (tan \| 52:36 row 13 : 13th \| 2002 \| simon kasimili (ken) \| 47:27 \| sonia o'sullivan \| 51:00 row 14 : 14th \| 2003 \| john yuda (tan \| 46:35 \| sonia o'sullivan \| 53:26 row 15 : 15th \| 2004 \| hendrick ramaala (r \| 47:14 \| benita johnson (aus) \| 52:32 row 16 : 16th \| 2005 \| john yuda (tan \| 46:45 \| derartu tulu (eth) \| 51:27 row 17 : 17th \| 2006 \| simon arusei (ken) \| 47:17 \| jo pavey (gbr) \| 52:46 row 18 : 18th \| 2007 \| luke kibet (ken \| 47:31 \| rose cheruiyot (ken \| 53:44 row 19 : 19th \| 2008 \| bernard kipyego ( \| 46:42 \| paula radcliffe (gb \| 51:11 row 20 : 20th \| 2009 \| mo farah (gbr) \| 46:25 \| ines monteiro (por) \| 52:32 row 21 : 21st \| 2010 \| joseph ebuya (ken \| 45:15 \| grace momanyi (ken) \| 52:03 row 22 : 22nd \| 2011 \| leonard komon (ken) \| 46:18 \| aselefech mergia (eth \| 52:55 row 23 : 23rd \| 2012 \| stephen mokoka (rsa \| 46:40 \| jo pavey (grb) \| 53:01 row 24 : 24th \| 2013 \| emmanuel bett ( \| 48:03 \| florence kiplagat (ken) \| 53:53 ] Execute this SQL based on the above table: select edition where men's winner = 'john yuda (tan)'	14th, 16th
[ header: s.no. \| name of kingdom \| name of king \| no. of villages \| capital \| names of districts row 1 : 1 \| sihag \| chokha singh \| 150 \| suin \| rawatsar, baramsar, row 2 : 2 \| beniwal \| raisal singh \| 150 \| rasalana \| bhukarka, sand row 3 : 3 \| johiya \| sher singh \| 600 \| bhurupal \| jaitpur, kumanu, ma row 4 : 4 \| punia \| kanha singh \| 300 \| luddi \| bhadra, ajitpura row 5 : 5 \| saharan \| pula singh \| 300 \| bhadang \| khejra, phoglo row 6 : 6 \| godara \| pandu singh \| 700 \| shekhsar \| shekhsar, pundrasar row 7 : 7 \| kaswan \| kanwarpal singh \| 400 \| sidhmukh \| None ] Execute this SQL based on the above table: select name of king where capital = ( select max ( capital ) )	chokha singh
[ header: party \| candidate \| votes \| % row 1 : labour \| martin o'neill \| 16004 \| 45.3 row 2 : snp \| keith brown \| 10655 \| 30.2 row 3 : conservative \| alasdair campbell \| 4235 \| 12 row 4 : liberal democrat \| paul edie \| 3253 \| 9.2 row 5 : scottish socialist \| pauline thomson \| 751 \| 2.1 row 6 : monster raving loony \| flash gordon approaching \| 405 \| 1.1 row 7 : majority \| majority \| 5349 \| 15.2 row 8 : turnout \| turnout \| 35303 \| 61.3 row 9 : labour hold \| labour hold \| swing \| 2.3 ] Execute this SQL based on the above table: select party order by votes desc limit 1	turnout
[ header: # \| matters \| sections of the constitution allowing their institution \| eligible petitioners \| type row 1 : 2 \| a petition for a decision as to whether \| section 68 \| any person \| constitutional defence row 2 : 3 \| a petition for a decision as to whether \| section 91 \| at least one tenth of the existing representatives \| membership row 3 : 4 \| a petition for a decision as to whether \| section 106 (7) \| the representative in question \| political party row 4 : 5 \| a petition for a decision concerning the constitutional \| section 141 \| the national assembly \| constitutionality of draft law row 5 : 6 \| a petition for a decision as to whether \| sections 140 and 149 \| the president of the house of representatives or s \| constitutionality of draft law row 6 : 9 \| a petition for a decision as to whether \| section 168, paragraph 7 \| at least one tenth of the existing representatives \| others row 7 : 11 \| a petition for a decision as to whether \| section 185 \| at least one fifth of the existing representatives or senator \| constitutionality of law row 8 : 12 \| a petition for a decision as to whether \| section 190 \| at least one tenth of the existing representatives \| authority row 9 : 13 \| a petition for a decision as to whether \| section 211 \| a party to such case \| constitutionality of law row 10 : 14 \| a petition for a decision as to the \| section 212 \| any person whose constitutionally recognised right or freedom \| constitutionality of law row 11 : 15 \| a petition for a decision as to \| section 214 \| the president of the national assembly the prime minister the \| authority row 12 : 16 \| a petition for a decision as to whether \| section 233 \| at least one tenth of the existing representatives \| membership row 13 : 18 \| a petition for a decision as to the \| section 245 (1) \| ombudsmen \| constitutionality of law row 14 : 19 \| a petition for a decision as to the \| section 257, paragraph 1 (2) \| the national human rights commission \| constitutionality of law ] Execute this SQL based on the above table: select type order by # - # desc limit 1	constitutional defence
[ header: party \| candidate \| votes \| % \| ∆% row 1 : conservative \| joe daniel \| 14422 \| 36.78 \| 5.78 row 2 : liberal \| yasmin ratansi \| 13552 \| 34.56 \| -13.51 row 3 : new democratic \| mary trapani hynes \| 9878 \| 25.19 \| 11.87 row 4 : green \| akil sadikali \| 1114 \| 2.84 \| -4.05 row 5 : christian heritage \| ryan kidd \| 246 \| 0.63 \| -0.07 row 6 : total valid votes \| total valid votes \| 39212 \| 100 \| None row 7 : total rejected ballots \| total rejected ballots \| 218 \| 0.55 \| None row 8 : turnout \| turnout \| 39430 \| 57.24 \| None row 9 : eligible voters \| eligible voters \| 68890 \| None \| None ] Execute this SQL based on the above table: select %	36.78, 34.56, 25.19, 2.84, 0.63, 100, 0.55, 57.24
[ header: # \| title \| songwriters \| producer(s) \| performer (s) row 1 : 1 \| "creative control" \| o. credle, l. bas \| organized konfusion \| o.c row 2 : 2 \| "word...life" \| o. credle, a. best \| buckwild \| o.c row 3 : 3 \| "o-zone" \| o. credle, a. best \| buckwild \| o.c row 4 : 4 \| "born 2 live" \| o. credle, a. best \| buckwild \| o.c row 5 : 5 \| "time's up" \| o. credle, a. best \| buckwild \| o.c row 6 : 6 \| "point o' viewz" \| o. credle, d. van \| buckwild, prestige \| o.c row 7 : 7 \| "constables" \| o. credle, l. bas \| organized konfusion \| o.c row 8 : 8 \| "ga head" \| o. credle, r. hall \| lord finesse \| o.c row 9 : 9 \| "no main topic" \| o. credle, g. \| dj ogee/o. \| o.c., prince po row 10 : 10 \| "let it slide" \| o. credle, a. best \| buckwild \| o.c., pharo row 11 : 11 \| "ma dukes" \| o. credle, a. best \| buckwild \| o.c row 12 : 12 \| "story" \| o. credle, g. \| dj ogee/o. \| o.c row 13 : 13 \| "outtro (sabotage) \| o. credle, a. best \| buckwild \| o.c row 14 : 14 \| "born 2 live (remix)" \| o. credle, a. best \| organized konfusion \| o.c ] Execute this SQL based on the above table: select sum ( # ) where performer (s) in ( 'o.c' , 'o.c' )	86.0
[ header: rank \| name \| caps \| goals \| years row 1 : 1 \| bedford jezzard \| 3 \| 6 \| 1954-1955 row 2 : 2 \| tommy taylor \| 2 \| 4 \| 1956 row 3 : 2 \| gordon hill \| 6 \| 4 \| 1978 row 4 : 2 \| alan smith \| 4 \| 4 \| 1990-1992 row 5 : 5 \| jack rowley \| 1 \| 3 \| 1949 row 6 : 5 \| brian talbot \| 6 \| 3 \| 1978-1980 row 7 : 5 \| paul merson \| 4 \| 3 \| 1991-1998 row 8 : 5 \| matthew le tissier \| 6 \| 3 \| 1990-1998 ] Execute this SQL based on the above table: select years order by rank desc limit 1	1949
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| russia \| 8 \| 12 \| 10 \| 30 row 2 : 2 \| china \| 7 \| 4 \| 2 \| 13 row 3 : 3 \| ukraine \| 7 \| 1 \| 1 \| 9 row 4 : 4 \| poland \| 3 \| 4 \| 2 \| 9 row 5 : 5 \| belarus \| 2 \| 2 \| 2 \| 6 row 6 : 6 \| germany \| 2 \| 1 \| 2 \| 5 row 7 : 6 \| south africa \| 2 \| 1 \| 2 \| 5 row 8 : 7 \| australia \| 2 \| 1 \| 1 \| 4 row 9 : 8 \| japan \| 2 \| 0 \| 1 \| 3 row 10 : 9 \| france \| 1 \| 3 \| 0 \| 4 row 11 : 10 \| romania \| 1 \| 2 \| 2 \| 5 row 12 : 11 \| hungary \| 1 \| 2 \| 1 \| 4 row 13 : 12 \| great britain \| 1 \| 1 \| 2 \| 4 row 14 : 12 \| spain \| 1 \| 1 \| 2 \| 4 row 15 : 14 \| morocco \| 1 \| 1 \| 1 \| 3 row 16 : 15 \| brazil \| 1 \| 0 \| 3 \| 3 row 17 : 16 \| czech republic \| 1 \| 0 \| 2 \| 3 row 18 : 17 \| moldova \| 1 \| 0 \| 0 \| 1 row 19 : 18 \| finland \| 0 \| 2 \| 1 \| 3 row 20 : 19 \| estonia \| 0 \| 1 \| 1 \| 2 row 21 : 19 \| north korea \| 0 \| 1 \| 1 \| 2 row 22 : 19 \| south korea \| 0 \| 1 \| 1 \| 2 row 23 : 22 \| denmark \| 0 \| 1 \| 0 \| 1 row 24 : 22 \| ireland \| 0 \| 1 \| 0 \| 1 row 25 : 22 \| jamaica \| 0 \| 1 \| 0 \| 1 row 26 : 22 \| kazakhstan \| 0 \| 1 \| 0 \| 1 row 27 : 22 \| uganda \| 0 \| 1 \| 0 \| 1 row 28 : 27 \| croatia \| 0 \| 0 \| 2 \| 2 row 29 : 28 \| canada \| 0 \| 0 \| 1 \| 1 row 30 : 28 \| cyprus \| 0 \| 0 \| 1 \| 1 row 31 : 28 \| italy \| 0 \| 0 \| 1 \| 1 row 32 : 28 \| switzerland \| 0 \| 0 \| 1 \| 1 ] Execute this SQL based on the above table: select sum ( bronze ) where nation in ( 'canada' , 'kazakhstan' )	1.0
[ header: pos \| grid \| no. \| driver \| team \| manufacturer \| laps \| points row 1 : 1 \| 8 \| 24 \| jeff gordon \| hendrick motorsports \| chevrolet \| 160 \| 185 row 2 : 2 \| 1 \| 18 \| bobby labonte \| joe gibbs racing \| pontiac \| 160 \| 175 row 3 : 3 \| 9 \| 31 \| mike skinner \| richard childress racing \| chevrolet \| 160 \| 165 row 4 : 4 \| 25 \| 12 \| jeremy mayfield \| penske-kranefuss \| ford \| 160 \| 165 row 5 : 7 \| 12 \| 22 \| ward burton \| bill davis racing \| pontiac \| 160 \| 146 row 6 : 8 \| 39 \| 36 \| ernie irvan \| mb2 motorsports \| pontiac \| 160 \| 142 row 7 : 9 \| 16 \| 33 \| ken schrader \| andy petree racing \| chevrolet \| 160 \| 138 row 8 : 10 \| 5 \| 3 \| dale earnhardt \| richard childress racing \| chevrolet \| 160 \| 139 row 9 : 12 \| 38 \| 23 \| jimmy spencer \| travis carter enterprises \| t-bird \| 160 \| 132 row 10 : 14 \| 14 \| 43 \| john andretti \| petty enterprises \| pontiac \| 160 \| 121 row 11 : 15 \| 31 \| 94 \| bill elliott \| bill elliott racing \| ford \| 160 \| 118 row 12 : 18 \| 17 \| 40 \| sterling marlin \| team sabco \| chevrolet \| 160 \| 109 row 13 : 19 \| 33 \| 9 \| jerry nadeau \| melling racing \| ford \| 160 \| 106 row 14 : 20 \| 20 \| 97 \| chad little \| roush racing \| t-bird \| 159 \| 103 row 15 : 21 \| 30 \| 71 \| dave marcis \| marcis auto racing \| chevrolet \| 159 \| 105 row 16 : 22 \| 42 \| 44 \| kyle petty \| pe2 \| pontiac \| 159 \| 97 row 17 : 23 \| 3 \| 88 \| dale jarrett \| robert yates racing \| ford \| 159 \| 99 row 18 : 25 \| 19 \| 11 \| brett bodine \| brett bodine racing \| ford \| 159 \| 88 row 19 : 26 \| 40 \| 26 \| johnny benson, j \| roush racing \| ford \| 159 \| 85 row 20 : 28 \| 43 \| 35 \| darrell waltrip \| tyler jet motorsports \| pontiac \| 158 \| 79 row 21 : 29 \| 24 \| 96 \| steve grissom \| american equipment racing \| chevrolet \| 157 \| 76 row 22 : 32 \| 11 \| 28 \| kenny irwin, j \| robert yates racing \| ford \| 140 \| 72 row 23 : 33 \| 15 \| 1 \| steve park \| dale earnhardt, inc \| chevrolet \| 139 \| 64 row 24 : 35 \| 28 \| 81 \| kenny wallace \| filmar racing \| ford \| 113 \| 58 row 25 : 36 \| 26 \| 07 \| dan pardus \| midwest transit racing \| chevrolet \| 99 \| 55 row 26 : 37 \| 32 \| 46 \| jeff green \| team sabco \| chevrolet \| 98 \| 52 row 27 : 38 \| 13 \| 30 \| derrike cope \| bahari racing \| pontiac \| 67 \| 49 row 28 : 39 \| 36 \| 98 \| rich bickle \| cale yarborough racing \| t-bird \| 58 \| 46 row 29 : 42 \| 10 \| 55 \| hut stricklin \| andy petree racing \| chevrolet \| 31 \| 37 ] Execute this SQL based on the above table: select driver where id = ( select id where driver = 'darrell waltrip' ) + 1	steve grissom
[ header: place \| position \| number \| name \| league one \| fa cup \| league cup \| football league trophy \| total row 1 : 1 \| mf \| 4 \| luke summerfield \| 5 \| 0 \| 0 \| 0 \| 5 row 2 : 2 \| mf \| 17 \| paul parry \| 3 \| 0 \| 1 \| 0 \| 4 row 3 : 3 \| fw \| 24 \| tom eaves \| 3 \| 0 \| 0 \| 0 \| 3 row 4 : 4 \| mf \| 11 \| jon taylor \| 1 \| 0 \| 0 \| 1 \| 2 row 5 : 4 \| df \| 5 \| darren jones \| 2 \| 0 \| 0 \| 0 \| 2 row 6 : 4 \| mf \| 23 \| adam reach \| 2 \| 0 \| 0 \| 0 \| 2 row 7 : 4 \| mf \| 22 \| ryan woods \| 2 \| 0 \| 0 \| 0 \| 2 row 8 : 4 \| fw \| 26 \| curtis main \| 2 \| 0 \| 0 \| 0 \| 2 row 9 : 5 \| mf \| 2 \| jermaine grandison \| 1 \| 0 \| 0 \| 0 \| 1 row 10 : 5 \| mf \| 8 \| dave mcallister \| 1 \| 0 \| 0 \| 0 \| 1 row 11 : 5 \| fw \| 15 \| aaron wildig \| 1 \| 0 \| 0 \| 0 \| 1 row 12 : 5 \| fw \| 29 \| asa hall \| 1 \| 0 \| 0 \| 0 \| 1 row 13 : 5 \| fw \| 7 \| gozie ugwu \| 1 \| 0 \| 0 \| 0 \| 1 row 14 : 5 \| df \| 18 \| connor goldson \| 1 \| 0 \| 0 \| 0 \| 1 row 15 : 5 \| mf \| 10 \| nicky wroe \| 1 \| 0 \| 0 \| 0 \| 1 row 16 : 5 \| fw \| 9 \| tom bradshaw \| 1 \| 0 \| 0 \| 0 \| 1 ] Execute this SQL based on the above table: select number where position = 'mf'	4, 17, 11, 23, 22, 2, 8, 10
[ header: year \| name \| birth date \| winner \| awarding age \| row 1 : 1998 \| nick cheung \| 1967-12-02 \| winner \| 30 years, 352 days \| None row 2 : 1998 \| chin kar lok \| 1965-08-06 \| winner \| 33 years, 105 days \| None row 3 : 2002 \| moses chan \| 1971-04-16 \| winner \| 31 years, 217 days \| None row 4 : 2003 \| raymond lam \| 1979-12-08 \| winner \| 23 years, 346 days \| youngest winner row 5 : 2004 \| ron ng \| 1979-09-02 \| winner \| 25 years, 78 days \| None row 6 : 2005 \| bosco wong \| 1980-12-13 \| winner \| 24 years, 341 days \| None row 7 : 2006 \| kenneth ma \| 1974-02-13 \| winner \| 32 years, 270 days \| None row 8 : 2007 \| amigo choi \| 1979-05-08 \| winner \| 28 years, 193 days \| None row 9 : 2008 \| wong cho lam \| 1980-01-09 \| winner \| 28 years, 311 days \| None row 10 : 2009 \| ngo ka-nin \| 1976-09-26 \| winner \| 33 years, 69 days \| None row 11 : 2010 \| raymond wong \| 1976-08-25 \| winner \| 34 years, 102 days \| oldest winner row 12 : 2011 \| jin au-yeung \| 1982-06-04 \| winner \| 29 years, 184 days \| None row 13 : 2012 \| oscar leung \| 1979-03-26 \| winner \| 33 years, 266 days \| None ] Execute this SQL based on the above table: select birth date group by birth date order by count ( year ) desc limit 1	1982-06-04
[ header: name \| pos. \| caps \| goals \| club row 1 : olle ahlund \| mf \| 1 \| 0 \| degerfors if row 2 : sune "mona-lisa \| mf \| 5 \| 0 \| aik solna row 3 : henry "garvis" carls \| fw \| 2 \| 0 \| aik solna row 4 : rune "killing" emanu \| mf \| 2 \| 0 \| ifk goteborg row 5 : thure grahn \| df \| 1 \| 0 \| is halmia halmsta row 6 : gunnar "il professore" gren \| fw \| 5 \| 5 \| ifk goteborg row 7 : sven "jack" jacobs \| mf \| 1 \| 0 \| gais goteborg row 8 : egon "hemliga" jons \| fw \| 1 \| 0 \| malmo ff row 9 : borje leander \| mf \| 1 \| 0 \| aik solna row 10 : nils "lidas"/" \| fw \| 6 \| 5 \| ifk norrkoping row 11 : torsten "lindy" lindberg \| gk \| 5 \| 0 \| ifk norrkoping row 12 : lennart lindskog \| fw \| 1 \| 0 \| degerfors if row 13 : malte "svarta bli \| fw \| 2 \| 0 \| halsingborgs if row 14 : erik nilsson \| df \| 4 \| 0 \| malmo ff row 15 : harry nilsson \| df \| 2 \| 0 \| aik solna row 16 : ove nilsson \| gk \| 1 \| 0 \| djurgardens if stockhol row 17 : stellan nilsson \| fw \| 4 \| 0 \| malmo ff row 18 : bertil nordahl \| mf \| 4 \| 0 \| degerfors if row 19 : gunnar nordahl \| fw \| 6 \| 8 \| ifk norrkoping row 20 : knut nordahl \| df \| 5 \| 0 \| ifk norrkoping row 21 : stig nystrom \| fw \| 1 \| 1 \| djurgardens if stockhol row 22 : kjell rosen \| mf/fw \| 4 \| 0 \| malmo ff row 23 : birger "bian" rosengren \| mf \| 1 \| 0 \| ifk norrkoping row 24 : rolf svensson \| fw \| 1 \| 0 \| halsingborgs if row 25 : borje tapper \| fw \| 1 \| 1 \| malmo ff ] Execute this SQL based on the above table: select name where caps = ( select caps where name = 'gunnar nordahl' ) - 1	sune "mona-lisa" andersson, gunnar "il professore" gren, torsten "lindy" lindberg, knut nordahl
[ header: outcome \| no. \| date \| tournament \| surface \| partner \| opponents in the final \| score in the final row 1 : winner \| 1 \| 9 may 2010 \| estoril open, estoril, port \| clay \| marc lopez \| pablo cuevas marcel grano \| 6-7(1-7), 6-4, [ row 2 : runner-up \| 1 \| 1 may 2011 \| estoril open, estoril, port \| clay \| marc lopez \| eric butorac jean-ju \| 3-6, 4-6 row 3 : runner-up \| 2 \| 21 may 2011 \| open de nice cote d'a \| clay \| santiago gonzalez \| eric butorac jean-ju \| 3-6, 4-6 row 4 : runner-up \| 3 \| 24 september 2011 \| brd nastase tiria \| clay \| julian knowle \| daniele bracciali potito star \| 6-3, 4-6, [8-10] row 5 : runner-up \| 4 \| 23 october 2011 \| kremlin cup, mosco \| hard (i) \| carlos berlocq \| frantisek cermak fi \| 3-6, 1-6 row 6 : winner \| 3 \| 25 february 2012 \| copa claro, buenos aires \| clay \| fernando verdasco \| michal mertinak andre \| 6-4, 6-4 row 7 : winner \| 4 \| 4 march 2012 \| abierto mexicano tel \| clay \| fernando verdasco \| marcel granollers marc lope \| 6-3, 6-4 row 8 : runner-up \| 5 \| 6 may 2012 \| estoril open, estoril, port \| clay \| julian knowle \| aisam-ul-haq qu \| 5-7, 5-7 row 9 : runner-up \| 6 \| 28 october 2012 \| valencia open 500, valen \| hard (i) \| fernando verdasco \| alexander peya bruno soare \| 3-6, 2-6 row 10 : winner \| 9 \| 22 september 2013 \| st. petersburg open, \| hard (i) \| fernando verdasco \| dominic inglot denis istomin \| 7-6(8-6), 6-3 row 11 : runner-up \| 7 \| 13 october 2013 \| shanghai rolex masters, \| hard \| fernando verdasco \| ivan dodig marcelo mel \| 6-7(2-7), 7-6(8 row 12 : runner-up \| 8 \| 23 february 2014 \| rio open, rio \| clay \| marcelo melo \| juan sebastian cabal rob \| 4-6, 2-6 ] Execute this SQL based on the above table: select count ( no. ) where no. < 5	7
[ header: rank \| title \| studio \| director \| actors \| gross row 1 : 1 \| the sound of music \| 20th century fox \| robert wise \| julie andrews, christ \| $163,214,286 row 2 : 2 \| doctor zhivago \| metro-goldwyn-mayer \| david lean \| omar sharif, ju \| $111,721,910 row 3 : 4 \| those magnificent men in their flying machines \| 20th century fox \| ken annakin \| stuart whitman, sara \| $31,111,111 row 4 : 8 \| what's new pussycat? \| united artists \| clive donner \| peter sellers, peter o'tool \| $18,820,000 row 5 : 9 \| shenandoah \| universal pictures \| andrew v. mclagle \| james stewart, doug \| $17,268,889 row 6 : 10 \| von ryan's express \| 20th century fox \| mark robson \| frank sinatra, trevor \| $17,111,111 row 7 : 12 \| for a few dollars more \| united artists \| sergio leone \| clint eastwood, lee van \| $15,000,000 row 8 : 13 \| the sandpiper \| metro-goldwyn-mayer \| vincente minnelli \| elizabeth tay \| $13,691,111 row 9 : 16 \| help! \| united artists \| richard lester \| john lennon, paul \| $12,066,667 row 10 : 19 \| the agony and the ecsta \| 20th century fox \| carol reed \| charlton heston, rex \| $8,000,000 ] Execute this SQL based on the above table: select actors where rank = ( select max ( rank ) )	charlton heston, rex harrison, diane cilento, harry andrews, alberto lupo, adolfo celi, venantino venantini
[ header: no. \| name \| took office \| left office \| president served under \| notable for row 1 : 2 \| carl l. alsberg m. \| december 16, 1912 \| july 15, 1921 \| william howard taft \| None row 2 : 3 \| walter gilbert campbell \| 7/16/1921 \| 6/30/1924 \| warren g. harding, cal \| None row 3 : 4 \| charles albert browne, j \| 7/1/1924 \| 6/30/1927 \| calvin coolidge \| None row 4 : 5 \| paul b. dunbar, \| 5/6/1944 \| 5/31/1951 \| franklin d. ro \| None row 5 : 6 \| charles w. crawford \| 6/1/1951 \| 7/31/1954 \| harry s truman, \| None row 6 : 8 \| james lee goddard, \| 1/17/1966 \| 7/1/1968 \| lyndon b. johnson \| None row 7 : 9 \| herbert leonard ley, j \| 7/1/1968 \| 12/12/1969 \| lyndon b. johnson \| None row 8 : 10 \| charles c. edward \| 12/13/1969 \| 3/15/1973 \| richard m. nixon \| None row 9 : 11 \| alexander mackay schmidt, \| 7/20/1973 \| 11/30/1976 \| richard m. nixon, \| None row 10 : 12 \| donald kennedy, \| 4/4/1977 \| 6/30/1979 \| jimmy carter \| None row 11 : 13 \| jere edwin goyan, \| 10/21/1979 \| 1/20/1981 \| jimmy carter \| None row 12 : 14 \| arthur hull hayes jr. \| 4/13/1981 \| 9/11/1983 \| ronald reagan \| None row 13 : 15 \| frank edward young, \| 7/15/1984 \| 12/17/1989 \| ronald reagan \| None row 14 : 16 \| david aaron kessler \| 11/8/1990 \| 2/28/1997 \| george h. w. bush \| None row 15 : 17 \| jane ellen henney, \| 1/17/1999 \| 1/19/2001 \| bill clinton \| None row 16 : 19 \| lester mills crawford, \| 7/18/2005 \| 9/23/2005 \| george w. bush \| charged with conflict of interest and lying about stock row 17 : 20 \| andrew c. von eschen \| 12/13/2006 \| 1/20/2009 \| george w. bush \| member of the board of directors of biotime ( row 18 : 21 \| margaret a. hamburg \| 5/22/2009 \| present \| barack obama \| None ] Execute this SQL based on the above table: select took office where name = 'jere edwin goyan, ph.d'	10/21/1979
[ header: order in position \| president of the republic \| length of the presidential action \| rank by length of term(s) \| notes row 1 : 1 \| k. j. stahlberg \| 5 years, 220 days \| 8 \| 1 term serving row 2 : 2 \| lauri kristian relander \| 6 years, 0 days one leap year (19 \| 6 \| 1 term serving row 3 : 3 \| p. e. svinh \| 5 years, 364 days two leap years (19 \| 6 \| 1 term serving row 4 : 4 \| kyosti kallio \| 3 years, 293 days \| 9 \| resigned due to poor health row 5 : 5 \| risto ryti \| 3 years, 229 days \| 10 \| resigned due to agreement with nazi german row 6 : 6 \| gustaf mannerheim \| 1 year, 219 days \| 11 \| resigned due to poor health and after not row 7 : 7 \| j. k. paasiki \| 9 years, 356 days \| 4 \| 2 terms serving (remainder of mannerheim row 8 : 8 \| urho kekkonen \| 25 years, 332 days \| 1 \| 3 whole terms serving (the 3rd exceptionally row 9 : 9 \| mauno koivisto \| 12 years, 33 days \| 2 \| 2 terms serving row 10 : 10 \| martti ahtisa \| 6 years, 0 days two leap years (19 \| 5 \| 1 term serving row 11 : 11 \| tarja halonen \| 12 years, 0 days \| 3 \| 2 terms serving row 12 : 12 \| sauli niinisto \| 2 years, 115 days \| None \| incumbent: first term serving ] Execute this SQL based on the above table: select ( select count ( * ) where notes = '1 term serving' ) > ( select count ( * ) where notes != '1 term serving' )	0
[ header: no. in series \| no. in season \| title \| directed by \| written by \| original air date \| production code row 1 : 125 \| 1 \| "burnin' down the house" \| madeline cripe \| joel madison & \| september 18, 1995 \| 60101 row 2 : 126 \| 2 \| "get a job" \| shelley jensen \| mort scrivner \| september 25, 1995 \| 60102 row 3 : 127 \| 3 \| "stress related" \| shelley jensen \| larry wilmore \| october 2, 1995 \| 60103 row 4 : 128 \| 4 \| "bourgie sings the blues" \| shelley jensen \| tom devanney \| october 9, 1995 \| 60104 row 5 : 129 \| 5 \| "the script formerly known as..." \| shelley jensen \| felicia d. henderson \| october 16, 1995 \| 60105 row 6 : 130 \| 6 \| "not i barbecue" \| madeline cripe \| matt tarses & kand \| october 23, 1995 \| 60106 row 7 : 132 \| 8 \| "viva lost wages" \| shelley jensen \| robert bruce \| november 13, 1995 \| 60108 row 8 : 133 \| 9 \| "there's the rub" (part 1) \| shelley jensen \| joel madison \| november 20, 1995 \| 60109 row 9 : 134 \| 10 \| "there's the rub" (part 2) \| shelley jensen \| joel madison \| november 20, 1995 \| 60110 row 10 : 135 \| 11 \| "i, ooh, baby, \| alfonso ribeiro \| adam markowitz & tom \| december 11, 1995 \| 60111 row 11 : 136 \| 12 \| "boxing helena" \| shelley jensen \| michael soccio \| january 8, 1996 \| 60112 row 12 : 137 \| 13 \| "i, clownius" \| shelley jensen \| story: david wyatt \| january 15, 1996 \| 60115 row 13 : 138 \| 14 \| "breaking up is hard to do" (part \| shelley jensen \| lisa rosenthal \| february 12, 1996 \| 60113 row 14 : 139 \| 15 \| "breaking up is hard to do" (part \| shelley jensen \| lisa rosenthal \| february 19, 1996 \| 60114 row 15 : 140 \| 16 \| "i, bowl buster" \| shelley jensen \| michael soccio \| february 26, 1996 \| 60117 row 16 : 141 \| 17 \| "the butler's son did it" \| madeline cripe \| lisa rosenthal \| march 18, 1996 \| 60116 row 17 : 142 \| 18 \| "hare today..." \| shelley jensen \| robert bruce \| april 8, 1996 \| 60119 row 18 : 143 \| 19 \| "i, whoops, there it is" \| shelley jensen \| tanya ward & mary \| april 15, 1996 \| 60124 row 19 : 144 \| 20 \| "i, stank horse" \| shelley jensen \| tom devanney \| april 22, 1996 \| 60120 row 20 : 145 \| 21 \| "i, stank hole in one" \| werner walian \| matt tarses & michae \| may 6, 1996 \| 60121 row 21 : 146 \| 22 \| "eye, tooth" \| shelley jensen \| adam markowitz \| may 13, 1996 \| 60118 ] Execute this SQL based on the above table: select count ( * ) where original air date = 'february 12, 1996'	1
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| puerto rico \| 17 \| 27 \| 13 \| 57 row 2 : 2 \| bahamas \| 17 \| 15 \| 19 \| 51 row 3 : 3 \| mexico \| 9 \| 9 \| 5 \| 23 row 4 : 4 \| jamaica \| 8 \| 6 \| 4 \| 18 row 5 : 5 \| barbados \| 7 \| 3 \| 6 \| 16 row 6 : 6 \| trinidad and tobago \| 7 \| 2 \| 2 \| 11 row 7 : 7 \| venezuela \| 3 \| 3 \| 8 \| 14 row 8 : 8 \| colombia \| 3 \| 1 \| 2 \| 6 row 9 : 9 \| u.s. virgin islands \| 1 \| 1 \| 3 \| 5 row 10 : 10 \| martinique \| 1 \| 1 \| 0 \| 2 row 11 : 11 \| antigua and barbuda \| 1 \| 0 \| 1 \| 2 row 12 : 12 \| suriname \| 1 \| 0 \| 0 \| 1 row 13 : 13 \| bermuda \| 0 \| 4 \| 2 \| 6 row 14 : 14 \| dominican republic \| 0 \| 2 \| 4 \| 6 row 15 : 15 \| panama \| 0 \| 1 \| 2 \| 3 row 16 : 16 \| cayman islands \| 0 \| 0 \| 2 \| 2 row 17 : 16 \| saint kitts and nevis \| 0 \| 0 \| 2 \| 2 ] Execute this SQL based on the above table: select nation where nation = 'mexico' order by nation desc limit 1	mexico
[ header: place \| position \| number \| name \| league two \| fa cup \| league cup \| fl trophy \| total row 1 : 1 \| mf \| 4 \| ryan hall \| 10 \| 1 \| 0 \| 3 \| 14 row 2 : 2 \| df \| 6 \| bilel mohsni \| 13 \| 0 \| 0 \| 0 \| 13 row 3 : 3 \| fw \| 22 \| liam dickinson \| 10 \| 1 \| 0 \| 1 \| 12 row 4 : 4 \| fw \| 9 \| neil harris \| 9 \| 0 \| 0 \| 1 \| 10 row 5 : 5 \| df \| 15 \| mark phillips \| 7 \| 0 \| 1 \| 0 \| 8 row 6 : 6 \| mf \| 12 \| kane ferdinand \| 7 \| 0 \| 0 \| 0 \| 7 row 7 : 7 \| mf \| 8 \| michael timlin \| 4 \| 0 \| 0 \| 0 \| 4 row 8 : 8 \| mf \| 14 \| dave martin \| 3 \| 0 \| 0 \| 0 \| 3 row 9 : 8 \| df \| 3 \| peter gilbert \| 3 \| 0 \| 0 \| 0 \| 3 row 10 : 10 \| fw \| 24 \| elliot benyon \| 2 \| 0 \| 0 \| 0 \| 2 row 11 : 10 \| fw \| 37 \| freddy eastwood \| 2 \| 0 \| 0 \| 0 \| 2 row 12 : 12 \| mf \| 18 \| ryan leonard \| 1 \| 0 \| 0 \| 0 \| 1 row 13 : 12 \| fw \| 21 \| blair sturrock \| 0 \| 0 \| 0 \| 1 \| 1 row 14 : 12 \| mf \| 19 \| jean-paul kalala \| 1 \| 0 \| 0 \| 0 \| 1 row 15 : 12 \| df \| 16 \| luke prosser \| 1 \| 0 \| 0 \| 0 \| 1 row 16 : 12 \| mf \| 7 \| anthony grant \| 1 \| 0 \| 0 \| 0 \| 1 row 17 : 12 \| df \| 23 \| chris barker \| 1 \| 0 \| 0 \| 0 \| 1 row 18 : None \| None \| None \| own goals \| 4 \| 0 \| 0 \| 0 \| 4 row 19 : None \| None \| None \| totals \| 79 \| 2 \| 1 \| 6 \| 88 ] Execute this SQL based on the above table: select league cup order by total limit 1	0.0
[ header: name \| 1968 cf designator \| place of manufacture \| primary role(s) \| service period \| # used row 1 : airco dh.9a \| None \| uk \| bomber \| 1920-1929 \| 12 row 2 : armstrong whitworth atlas \| None \| uk \| army co-operation \| 1927-1942 \| 16 row 3 : avro tutor (avro 621) \| None \| uk \| trainer \| 1931-1945 \| 7 row 4 : avro lancaster \| None \| uk/canada \| heavy bomber \| 1944-1965 \| 229 row 5 : avro lincoln \| None \| uk/canada \| heavy bomber \| 1946-1947 \| 3 row 6 : boeing-vertol chinook \| ch-147 \| us \| transport helicopter \| 1974-1992 \| 9 row 7 : canadair argus \| cp-107 \| canada \| maritime patrol \| 1957-1988 \| 33 row 8 : canadair dynavert \| cx-131 \| canada \| experimental vtol tilt-wing \| 1969-1975 \| 3 row 9 : canadair starfighter \| cf-104 \| canada \| fighter \| 1961-1988 \| 200 row 10 : canadian vickers varuna \| None \| canada \| patrol flying boat \| 1926-1930 \| 8 row 11 : consolidated catalina/canso \| None \| us/canada \| maritime patrol seaplane \| 1941-1962 \| 254 row 12 : curtiss h-16 \| None \| us \| patrol flying boat \| 1922-1924 \| 2 row 13 : curtiss tomahawk \| None \| us \| fighter \| 1943-1946 \| 4 row 14 : curtiss warhawk \| None \| us \| fighter \| 1942-1943 \| 9 row 15 : de havilland fox moth \| None \| canada \| transport \| 1941-1945 \| 1 row 16 : de havilland genet moth \| None \| uk \| role \| 1928-1932 \| 2 row 17 : de havilland canada chipmunk \| ct-120 \| canada \| elementary trainer \| 1948-1972 \| 100 row 18 : de havilland canada otter \| csr-123 \| canada \| transport \| 1953-1984 \| 69 row 19 : douglas mo-2b \| None \| us \| utility/patrol \| 1927-1930 \| 1 row 20 : fairchild cornell \| None \| us \| elementary trainer \| 1942-1948 \| 1555 row 21 : fairchild flying boxcar \| None \| us \| transport \| 1952-1967 \| 35 row 22 : fleet freighter \| None \| canada \| transport \| 1942-1944 \| 2 row 23 : grumman tracker \| cp-121 \| canada \| carrier-borne asw \| 1968-1994 \| 72 row 24 : handley page harrow \| None \| uk \| bomber/transport \| 1940-1941 \| 2 row 25 : handley page halifax \| None \| uk \| heavy bomber \| 1944-1947 \| 5 row 26 : hawker hurricane \| None \| uk/canada \| fighter \| 1939-1948 \| 502 row 27 : hawker sea hurricane \| None \| uk \| fighter \| 1942-1943 \| 1 row 28 : keystone puffer \| None \| us \| crop duster/utility \| 1927-1934 \| 2 row 29 : lockheed lodestar \| None \| us \| transport \| 1943-1948 \| 18 row 30 : mcdonnell douglas c \| cf-188 \| us \| fighter \| 1982-current \| 138 row 31 : noorduyn norseman \| None \| canada \| utility transport \| 1940-1957 \| 100 row 32 : north american harvard \| None \| us/canada \| advanced trainer \| 1939-1968 \| 2156 row 33 : north american na-44 \| None \| us \| fighter/utility \| 1940-1944 \| 1 row 34 : sagem sperwer \| cu-161 \| france \| uav \| 2003-current \| 31 ] Execute this SQL based on the above table: select primary role(s) order by # used desc limit 1	advanced trainer
[ header: # \| title \| producer(s) \| performer(s) \| length row 1 : 1 \| "intro" \| l.e.s \| bravehearts \| 2:03 row 2 : 2 \| "da bridge 2001" \| marley marl, l.e. \| capone, cormega, marley mar \| 4:32 row 3 : 3 \| "we live this" \| havoc \| big noyd, havoc, rox \| 4:08 row 4 : 4 \| "real niggas" \| l.e.s \| nas, ruc \| 4:39 row 5 : 5 \| "find ya wealth" \| l.e.s \| nas \| 3:40 row 6 : 6 \| "straight outta q.b \| l.e.s \| cormega, jungle, poet \| 3:55 row 7 : 7 \| "oochie wally (remix) \| ez elpee \| nas, bravehearts \| 4:00 row 8 : 8 \| "our way" \| scott storch \| capone-n-noreaga, \| 4:47 row 9 : 9 \| "fire" \| l.e.s \| nature \| 3:39 row 10 : 10 \| "power rap" (freestyle interlude \| havoc \| prodigy \| 2:30 row 11 : 11 \| "street glory" \| l.e.s \| nas, pop \| 3:30 row 12 : 12 \| "we break bread" \| l.e.s \| chaos, craig g, little \| 4:43 row 13 : 13 \| "money" \| the alchemist \| mr. challish \| 3:15 row 14 : 14 \| "self conscience" \| the infinite arkatechz \| nas, prodigy \| 3:15 row 15 : 15 \| "die 4" \| plain truth \| infamous mobb \| 4:01 row 16 : 16 \| "kids in da p.j \| the infinite arkatechz \| millennium thug, \| 4:35 row 17 : 17 \| "teenage thug" (bon \| al west \| millennium thug, \| 4:02 ] Execute this SQL based on the above table: select count ( # ) where # >= 14	4
[ header: rnd. \| pick # \| nfl team \| player \| pos. \| college \| conf. \| notes row 1 : 1 \| 1 \| oakland raiders \| jamarcus russell \| qb \| lsu \| sec \| None row 2 : 1 \| 6 \| washington redskins \| laron landry \| s \| lsu \| sec \| None row 3 : 1 \| 22 \| cleveland browns \| brady quinn \| qb \| notre dame \| ind \| from dallas row 4 : 2 \| 35 \| tampa bay buccaneers \| arron sears \| g \| tennessee \| sec \| None row 5 : 2 \| 52 \| st. louis rams \| brian leonard \| fb \| rutgers \| big east \| None row 6 : 3 \| 71 \| miami dolphins \| lorenzo booker \| rb \| florida state \| acc \| None row 7 : 3 \| 77 \| pittsburgh steelers \| matt spaeth \| te \| minnesota \| big ten \| None row 8 : 3 \| 78 \| green bay packers \| james jones \| wr \| san jose state \| wac \| None row 9 : 3 \| 79 \| jacksonville jaguars \| mike sims-walker \| wr \| central florida \| c-usa \| None row 10 : 3 \| 85 \| seattle seahawks \| brandon mebane \| dt \| california \| pac-10 \| None row 11 : 4 \| 127 \| new england patriots \| kareem brown \| dt \| miami (fl) \| acc \| None row 12 : 5 \| 161 \| seattle seahawks \| will herring \| lb \| auburn \| sec \| None row 13 : 5 \| 164 \| carolina panthers \| tim shaw \| lb \| penn state \| big ten \| from new york jets row 14 : 6 \| 177 \| new york jets \| jacob bender \| ot \| nicholls state \| southland \| from tampa bay row 15 : 6 \| 178 \| dallas cowboys \| nick folk \| k \| arizona \| pac-10 \| from cleveland row 16 : 6 \| 204 \| tennessee titans \| jacob ford \| de \| central arkansas \| ind \| from san diego row 17 : 7 \| 214 \| tampa bay buccaneers \| chris denman \| ot \| fresno state \| wac \| None row 18 : 7 \| 217 \| minnesota vikings \| tyler thigpen \| qb \| coastal carolina \| big south \| None row 19 : 7 \| 222 \| buffalo bills \| derek schouman \| te \| boise state \| wac \| None row 20 : 7 \| 230 \| cincinnati bengals \| dan santucci \| g \| notre dame \| ind \| None row 21 : 7 \| 248 \| st. louis rams \| keith jackson, jr \| dt \| arkansas \| sec \| None ] Execute this SQL based on the above table: select count ( conf. ) where pick # > 565	0
[ header: year \| tournament \| venue \| played \| won \| lost \| tied \| n/r \| result row 1 : 1989-90 \| world series \| australia \| 8 \| 6 \| 2 \| 0 \| 0 \| won row 2 : 1990-91 \| world series \| australia \| 10 \| 9 \| 1 \| 0 \| 0 \| won row 3 : 1991-92 \| world series \| australia \| 10 \| 7 \| 2 \| 0 \| 1 \| won row 4 : 1992 \| 5th world cup \| aust/nz \| 8 \| 4 \| 4 \| 0 \| 0 \| eliminated row 5 : 1992 \| v sri lanka \| sri lanka \| 3 \| 1 \| 2 \| 0 \| 0 \| lost row 6 : 1993 \| v new zealand \| new zealand \| 5 \| 3 \| 2 \| 0 \| 0 \| won row 7 : 1993 \| texaco trophy \| england \| 3 \| 3 \| 0 \| 0 \| 0 \| won row 8 : 1993-94 \| world series \| australia \| 11 \| 7 \| 4 \| 0 \| 0 \| won row 9 : 1994 \| v south africa \| south africa \| 8 \| 4 \| 4 \| 0 \| 0 \| drawn row 10 : 1994 \| wills triangular series \| pakistan \| 6 \| 5 \| 1 \| 0 \| 0 \| won row 11 : 1994-95 \| world series \| australia \| 4 \| 3 \| 1 \| 0 \| 0 \| won row 12 : 1995 \| nz centenary t'ment \| new zealand \| 4 \| 3 \| 1 \| 0 \| 0 \| won row 13 : 1995 \| v west indies \| west indies \| 5 \| 1 \| 4 \| 0 \| 0 \| lost row 14 : 1995-96 \| world series \| australia \| 10 \| 7 \| 3 \| 0 \| 0 \| won row 15 : 1996 \| singer world series \| sri lanka \| 4 \| 2 \| 2 \| 0 \| 0 \| runner-up row 16 : 1996 \| titan cup \| india \| 5 \| 0 \| 5 \| 0 \| 0 \| eliminated row 17 : 1997 \| v south africa \| south africa \| 7 \| 4 \| 3 \| 0 \| 0 \| won row 18 : 1997 \| texaco trophy \| england \| 3 \| 0 \| 3 \| 0 \| 0 \| lost row 19 : 1998 \| v new zealand \| australia \| 4 \| 2 \| 2 \| 0 \| 0 \| drawn row 20 : 1998 \| pepsi triangular series \| india \| 5 \| 3 \| 2 \| 0 \| 0 \| won row 21 : 1998 \| coca-cola cup \| sharjah \| 5 \| 4 \| 1 \| 0 \| 0 \| runner-up row 22 : 1998 \| wills cup \| bangladesh \| 1 \| 0 \| 1 \| 0 \| 0 \| eliminated row 23 : 1998 \| v pakistan \| pakistan \| 3 \| 3 \| 0 \| 0 \| 0 \| won row 24 : 1999 \| cub series \| australia \| 12 \| 9 \| 3 \| 0 \| 0 \| won row 25 : 1999 \| v west indies \| west indies \| 7 \| 3 \| 3 \| 1 \| 0 \| drawn row 26 : 1999 \| 7th world cup \| uk/ire/neth \| 10 \| 7 \| 2 \| 1 \| 0 \| won row 27 : 1999 \| aiwa cup \| sri lanka \| 5 \| 4 \| 1 \| 0 \| 0 \| runner-up row 28 : 1999 \| v zimbabwe \| zimbabwe \| 3 \| 3 \| 0 \| 0 \| 0 \| won ] Execute this SQL based on the above table: select tournament where venue > ( select venue where tournament = '7th world cup' ) order by venue limit 1	v west indies
[ header: township \| fips \| population center \| population \| population density /km2 (/sq mi) \| land area km2 (sq mi) \| water area km2 (sq mi) \| water % \| geographic coordinates row 1 : belleville \| 5575 \| None \| 675 \| 4 (11) \| 155 (60) \| 0 (0) \| 0.14% \| 37°3′50′′n 96° row 2 : caneyville \| 10425 \| None \| 88 \| 1 (2) \| 144 (55) \| 1 (0) \| 0.38% \| 37°15′23′′n 96° row 3 : center \| 11575 \| None \| 75 \| 1 (1) \| 144 (56) \| 1 (0) \| 0.80% \| 37°15′28′′n 96° row 4 : harrison \| 30275 \| None \| 114 \| 1 (2) \| 142 (55) \| 0 (0) \| 0.14% \| 37°4′3′′n 96° row 5 : hendricks \| 31300 \| None \| 179 \| 1 (3) \| 142 (55) \| 0 (0) \| 0.05% \| 37°1′12′′n 96° row 6 : jefferson \| 35125 \| cedar vale \| 834 \| 6 (15) \| 144 (56) \| 1 (0) \| 0.45% \| 37°6′45′′n 96° row 7 : lafayette \| 37650 \| None \| 65 \| 0 (1) \| 154 (59) \| 2 (1) \| 1.40% \| 37°15′36′′n 96° row 8 : little caney \| 41525 \| None \| 353 \| 3 (8) \| 117 (45) \| 0 (0) \| 0.31% \| 37°3′51′′n 96° row 9 : salt creek \| 62775 \| None \| 123 \| 1 (3) \| 127 (49) \| 0 (0) \| 0.34% \| 37°15′13′′n 96° row 10 : sedan \| 63775 \| sedan \| 1660 \| 13 (34) \| 128 (49) \| 1 (0) \| 0.65% \| 37°7′50′′n 96° row 11 : summit \| 69025 \| None \| 106 \| 1 (2) \| 144 (56) \| 1 (0) \| 0.40% \| 37°8′17′′n 96° row 12 : washington \| 75550 \| None \| 87 \| 1 (2) \| 121 (47) \| 1 (0) \| 0.71% \| 37°7′41′′n 96° ] Execute this SQL based on the above table: select sum ( township )	0.0
[ header: player \| country \| year(s) won \| r1 \| r2 \| total \| to par row 1 : don january \| united states \| 1967 \| 76 \| 74 \| 150 \| 6 row 2 : jack burke, jr \| united states \| 1956 \| 75 \| 75 \| 150 \| 6 row 3 : raymond floyd \| united states \| 1969 \| 77 \| 74 \| 151 \| 7 row 4 : jay hebert \| united states \| 1960 \| 74 \| 79 \| 153 \| 9 row 5 : dow finsterwald \| united states \| 1958 \| 79 \| 74 \| 153 \| 9 row 6 : doug ford \| united states \| 1955 \| 77 \| 80 \| 154 \| 14 row 7 : jerry barber \| united states \| 1961 \| 78 \| 80 \| 158 \| 14 row 8 : gene sarazen \| united states \| 1922, 1923, 1933 \| 81 \| 79 \| 160 \| 16 row 9 : walter burkemo \| united states \| 1953 \| 83 \| 79 \| 162 \| 18 row 10 : denny shute \| united states \| 1936, 1937 \| 81 \| 87 \| 168 \| 24 ] Execute this SQL based on the above table: select r2 where country = 'united states'	74.0, 75.0, 74.0, 79.0, 74.0, 80.0, 80.0, 79.0, 79.0, 87.0
[ header: pick # \| cfl team \| player \| position \| college row 1 : 25 \| montreal alouettes \| shawn gifford \| ot \| charleston southern row 2 : 26 \| toronto argonauts \| kevin eiben \| s \| bucknell row 3 : 27 \| winnipeg blue bombers \| nick tsatsaronis \| rb \| memphis row 4 : 28 \| hamilton tiger-cats \| ryan donnelly \| ol \| mcmaster row 5 : 29 \| montreal alouettes \| peter moore \| dl \| syracuse row 6 : 30 \| calgary stampeders \| andrew carter \| ol \| bishop's row 7 : 31 \| montreal alouettes \| steven maheu \| wr/qb \| simon fraser row 8 : 32 \| bc lions \| kelly bates \| ol \| saskatchewan ] Execute this SQL based on the above table: select pick # where pick # in ( 26 , 26 ) order by pick # asc limit 1	26
[ header: # \| date \| venue \| opponent \| score \| result \| competition row 1 : 1 \| 29 march 2000 \| vasil levski national stadium, so \| belarus \| 1-0 \| 4-1 \| friendly row 2 : 2 \| 7 october 2000 \| georgi asparuhov stadium, so \| malta \| 3-0 \| 3-0 \| 2002 world cup qualifier row 3 : 3 \| 27 march 2003 \| stadion mladost, \| serbia and montenegro \| 2-1 \| 2-1 \| friendly row 4 : 4 \| 7 june 2003 \| vasil levski national stadium, so \| belgium \| 2-2 \| 2-2 \| euro 2004 qualifier row 5 : 5 \| 12 november 2005 \| vasil levski national stadium, so \| georgia \| 5-0 \| 6-2 \| friendly row 6 : 6 \| 12 november 2005 \| vasil levski national stadium, so \| georgia \| 6-2 \| 6-2 \| friendly row 7 : 7 \| 9 may 2006 \| nagai stadium, osaka \| japan \| 1-0 \| 2-1 \| 2006 kirin cup ] Execute this SQL based on the above table: select min ( # )	1
[ header: pos \| no \| driver \| constructor \| laps \| time/retired \| grid \| points row 1 : 1 \| 5 \| jim clark \| lotus-ford \| 80 \| 1:59:25.6 \| 1 \| 9 row 2 : 2 \| 2 \| denny hulme \| brabham-repco \| 80 \| + 12.8 \| 4 \| 6 row 3 : 3 \| 8 \| chris amon \| ferrari \| 80 \| + 16.6 \| 6 \| 4 row 4 : 4 \| 1 \| jack brabham \| brabham-repco \| 80 \| + 21.8 \| 3 \| 3 row 5 : 5 \| 12 \| pedro rodriguez \| cooper-maserati \| 79 \| + 1 lap \| 9 \| 2 row 6 : 6 \| 7 \| john surtees \| honda \| 78 \| + 2 laps \| 7 \| 1 row 7 : 7 \| 15 \| chris irwin \| brm \| 77 \| + 3 laps \| 13 \| None row 8 : 8 \| 20 \| david hobbs \| brm \| 77 \| + 3 laps \| 14 \| None row 9 : 9 \| 14 \| alan rees \| cooper-maserati \| 76 \| + 4 laps \| 15 \| None row 10 : 10 \| 18 \| guy ligier \| brabham-repco \| 76 \| + 4 laps \| 21 \| None row 11 : ret \| 19 \| bob anderson \| brabham-climax \| 67 \| engine \| 17 \| None row 12 : ret \| 6 \| graham hill \| lotus-ford \| 64 \| engine \| 2 \| None row 13 : ret \| 4 \| mike spence \| brm \| 44 \| ignition \| 11 \| None row 14 : ret \| 9 \| dan gurney \| eagle-weslake \| 34 \| clutch \| 5 \| None row 15 : ret \| 22 \| silvio moser \| cooper-ats \| 29 \| oil pressure \| 20 \| None row 16 : ret \| 11 \| jochen rindt \| cooper-maserati \| 26 \| engine \| 8 \| None row 17 : ret \| 3 \| jackie stewart \| brm \| 20 \| transmission \| 12 \| None row 18 : ret \| 10 \| bruce mclaren \| eagle-weslake \| 14 \| engine \| 10 \| None row 19 : ret \| 17 \| jo siffert \| cooper-maserati \| 10 \| engine \| 18 \| None row 20 : ret \| 23 \| jo bonnier \| cooper-maserati \| 0 \| engine \| 9 \| None row 21 : dns \| 16 \| piers courage \| brm \| 0 \| non starter \| None \| None ] Execute this SQL based on the above table: select driver order by driver + constructor desc limit 1	jim clark
[ header: pos \| no \| driver \| constructor \| laps \| time/retired \| grid \| points row 1 : 1 \| 7 \| jo bonnier \| brm \| 75 \| 2:05:26.8 \| 1 \| 8 row 2 : 2 \| 8 \| jack brabham \| cooper-climax \| 75 \| + 14.2 \| 2 \| 6 row 3 : 3 \| 9 \| masten gregory \| cooper-climax \| 75 \| + 1:23.0 \| 7 \| 4 row 4 : 4 \| 12 \| innes ireland \| lotus-climax \| 74 \| + 1 lap \| 9 \| 3 row 5 : 5 \| 1 \| jean behra \| ferrari \| 74 \| + 1 lap \| 4 \| 2 row 6 : 6 \| 3 \| phil hill \| ferrari \| 73 \| + 2 laps \| 12 \| None row 7 : 7 \| 14 \| graham hill \| lotus-climax \| 73 \| + 2 laps \| 5 \| None row 8 : 8 \| 10 \| maurice trintignant \| cooper-climax \| 73 \| + 2 laps \| 11 \| None row 9 : 9 \| 16 \| cliff allison \| ferrari \| 71 \| + 4 laps \| 15 \| None row 10 : 10 \| 15 \| carel godin de beaufort \| porsche \| 68 \| + 7 laps \| 14 \| None row 11 : ret \| 11 \| stirling moss \| cooper-climax \| 62 \| gearbox \| 3 \| 1 row 12 : ret \| 6 \| harry schell \| brm \| 46 \| gearbox \| 6 \| None row 13 : ret \| 2 \| tony brooks \| ferrari \| 42 \| oil leak \| 8 \| None row 14 : ret \| 5 \| carroll shelby \| aston martin \| 25 \| engine \| 10 \| None row 15 : ret \| 4 \| roy salvadori \| aston martin \| 3 \| engine \| 13 \| None ] Execute this SQL based on the above table: select max ( time/retired )	14.2
[ header: device \| type \| iops \| interface \| notes row 1 : simple slc ssd \| ssd \| ~400 iops[citation needed] \| sata 3 gbit/s \| None row 2 : intel x25-m g2 \| ssd \| ~8,600 iops \| sata 3 gbit/s \| intel's data sheet claims 6,600/8 row 3 : intel x25-e (sl \| ssd \| ~5,000 iops \| sata 3 gbit/s \| intel's data sheet claims 3,300 row 4 : g.skill phoenix pro \| ssd \| ~20,000 iops \| sata 3 gbit/s \| sandforce-1200 based s row 5 : ocz vertex 3 \| ssd \| up to 60,000 iops \| sata 6 gbit/s \| random write 4 kb (aligned row 6 : corsair force series gt \| ssd \| up to 85,000 iops \| sata 6 gbit/s \| 240 gb drive, 555 row 7 : ocz vertex 4 \| ssd \| up to 120,000 iops \| sata 6 gbit/s \| 256 gb drive, 560 row 8 : texas memory systems ramsan \| ssd \| 120,000+ random read/write iops \| pcie \| includes ram cache row 9 : virident systems tachion \| ssd \| 320,000 sustained read iops using 4k \| pcie \| None row 10 : fusion-io iodrive du \| ssd \| 250,000+ iops \| pcie \| None row 11 : violin memory violin 3200 \| ssd \| 250,000+ random read/write iops \| pcie /fc/infini \| flash memory array row 12 : whiptail, accela \| ssd \| 250,000/200,000+ write/read i \| fibre channel, iscsi, infini \| flash based storage array row 13 : ddrdrive x1 \| ssd \| 300,000+ (512b random read \| pcie \| None row 14 : whiptail, invicta \| ssd \| 650,000/550,000+ read/write i \| fibre channel, iscsi, infini \| flash based storage array row 15 : violin memory violin 6000 \| 3ru flash memory array \| 1,000,000+ random read/write iops \| /fc/infiniband/10g \| None ] Execute this SQL based on the above table: select interface order by interface desc limit 1	sata 6 gbit/s
[ header: name \| developer \| release \| type \| game flow \| setting row 1 : 8realms \| jagex \| 2011 (now closed) \| strategy \| real-time \| empire building row 2 : adventure quest worlds \| artix entertainment \| 2008 \| mmorpg \| real-time \| rpg row 3 : blood wars \| bw team \| 2006 \| mmorpg \| real-time \| post-apocalyptic world row 4 : business tycoon online \| dovogame llc \| 2009 \| mmorpg \| real-time \| fantasy/business simulation row 5 : castle marrach \| skotos \| 2001 \| role-playing \| real-time \| fantasy/storytelling row 6 : club penguin \| new horizon entertainment/disney \| 2005 \| social networking \| real-time \| antarctica row 7 : dead frontier \| neil yates \| 2008 \| mmorpg, third-person shoot \| real-time \| post-apocalyptic world row 8 : doomlord \| beholder kft \| 2008 \| rpg \| real-time \| fantasy row 9 : earth eternal \| sparkplay media \| 2009 \| mmorpg \| real-time \| fantasy row 10 : echo bazaar! \| failbetter games \| 2009 \| rpg \| turn-based \| gothic fantasy/steampunk row 11 : fusionfall \| cartoon network/grigon entertainment \| 2009 \| mmorpg \| real-time \| science fiction row 12 : legends of zork \| jolt online gaming \| 2009-2011 (now closed) \| role-playing \| turn-based \| fantasy/humorous row 13 : lord of ultima \| electronic arts \| 2010 \| strategy \| real-time \| fantasy row 14 : miniconomy \| trade games international bv \| 2002 \| strategy \| real-time \| contemporary/country building row 15 : nationstates \| max barry \| 2002 \| strategy \| real-time \| contemporary/country building row 16 : neopets \| viacom \| 1999 \| strategy, simulation \| real-time \| virtual pet site row 17 : pardus \| bayer&szell oeg \| 2004 \| strategy \| turn-based \| science fiction row 18 : pirate galaxy \| splitscreen studios \| 2000 \| role-playing \| real-time \| science fiction row 19 : planetarion \| fubra \| 2000 \| strategy \| turn-based \| science fiction row 20 : quick hit football \| play hard sports \| 2009 \| sports game \| None \| sports/american football row 21 : raceconflicts \| raceconflicts \| 2004 \| mmorpg \| turn-based \| fantasy row 22 : sentou gakuen \| pst team \| 2012 \| mmorpg, visual novel \| real-time \| school life row 23 : threechess \| rs consult bg lt \| 2010 \| strategy \| turn-based \| chess variant row 24 : transformice \| tigrounette, melibell \| 2010 \| platform game \| real-time \| mmog row 25 : travian \| travian games \| 2004 \| mmorts, strategy \| real-time \| antiquity/empire building row 26 : urban dead \| kevan davis \| 2005 \| mmorpg \| turn-based \| contemporary/zombies row 27 : tribal wars \| inno games \| 2003 \| strategy \| real-time \| empire building ] Execute this SQL based on the above table: select type where type < ( select type where type = 'strategy' ) order by type desc limit 1	sports game
[ header: year \| title \| chinese title \| role \| notes row 1 : 1992 \| to miss with love \| 逃學外傳 \| lai man-si \| None row 2 : 1992 \| super lady cop \| 超级女警 \| yoki \| None row 3 : 1992 \| fight back to school ii \| 逃學威龍2 \| sandy \| None row 4 : 1993 \| once a cop \| 超級計劃 \| annie lee \| None row 5 : 1993 \| taxi hunter \| 的士判官 \| yan \| None row 6 : 1993 \| tom, dick and hairy \| 風塵三俠 \| pearl chan \| None row 7 : 1993 \| vampire family \| 一屋哨牙鬼 \| chu lee-mei \| None row 8 : 1994 \| lantern \| 燈籠 \| fong \| None row 9 : 1994 \| easy money \| 先洗未來錢 \| sisi li \| None row 10 : 1995 \| shaolin kung fu kids \| 笑林老祖 \| sister lam \| None row 11 : 1995 \| trouble maker \| 蠟筆小小生 \| None \| None row 12 : 1995 \| remember m, remember e \| 那有一天不想你 \| chui ching \| None row 13 : 1995 \| cupid love \| 七月俏佳人 \| ching-ching \| None row 14 : 1995 \| a chinese odyss \| 西遊記第壹佰零壹回之月光寶盒 \| purple / lin zixia \| None row 15 : 1996 \| the feeling of love \| 重慶愛情感覺 \| None \| None row 16 : 1996 \| hero of swallow \| 神偷燕子李三 \| chinny \| None row 17 : 1997 \| ah fai the dumb \| 天才與白痴 \| man-man \| None row 18 : 1998 \| temptress of a thousand face \| 千面嬌娃 \| sherry wong \| None row 19 : 1998 \| step into the dark \| 夜半無人屍語時 \| faith ching \| None row 20 : 1998 \| the love and sex of the eastern \| 愛在娛樂圈的日子 \| yue \| None row 21 : 1998 \| take five \| 對不起,幹掉你 \| None \| None row 22 : 1998 \| raped by an angel 2: the \| 強姦2 制服誘惑 \| po-man \| None row 23 : 1998 \| the conman \| 賭俠1999 \| ching \| None row 24 : 1999 \| the boss up there \| 生命楂fit人 \| fong hei-tung \| None row 25 : 1999 \| raped by an angel 4: the \| 強姦終極篇之最後羔羊 \| po-man \| None row 26 : 2000 \| love correction \| 緣份有take 2 \| emma lau \| None row 27 : 2000 \| conman in tokyo \| 中華賭俠 \| karen \| None row 28 : 2001 \| stowaway \| 驚天大逃亡 \| kam lan \| None row 29 : 2001 \| never say goodbye \| 有人說愛我 \| jean \| None row 30 : 2002 \| chinese odyssey \| 天下無雙 \| amour amour \| guest star row 31 : 2002 \| time 4 hope \| 二人三足 \| cindy \| None row 32 : 2003 \| shiver \| 心寒 \| sammi mok sum-y \| None row 33 : 2003 \| dack night wolf \| None \| None \| None row 34 : 2004 \| love is a many stupid thing \| 精裝追女仔2004 \| chu yan \| guest star row 35 : 2007 \| whispers and moans \| 性工作者十日談 \| coco \| None ] Execute this SQL based on the above table: select count ( * ) where role = 'chui ching'	1
[ header: season \| skip \| third \| second \| lead \| events row 1 : 1995-96 \| arnold asham \| david nedohin \| sean nedohin \| don rudd \| None row 2 : 1996-97 \| dale duguid \| james kirkness \| david nedohin \| doug armstrong \| None row 3 : 1997-98 \| david nedohin (four \| randy ferbey (skip \| carter rycroft \| pat mccallum \| None row 4 : 1998-99 \| david nedohin (four \| randy ferbey (skip \| scott pfeifer \| carter rycroft \| None row 5 : 2000-01 \| david nedohin (four \| randy ferbey (skip \| scott pfeifer \| marcel rocque \| 2001 alta., brier, w row 6 : 2001-02 \| david nedohin (four \| randy ferbey (skip \| scott pfeifer \| marcel rocque \| 2002 alta., brier, w row 7 : 2002-03 \| david nedohin (four \| randy ferbey (skip \| scott pfeifer \| marcel rocque \| 2003 alta., brier, w row 8 : 2003-04 \| david nedohin (four \| randy ferbey (skip \| scott pfeifer \| marcel rocque \| 2004 alta., brier row 9 : 2004-05 \| david nedohin (four \| randy ferbey (skip \| scott pfeifer \| marcel rocque \| 2005 alta., brier, w row 10 : 2007-08 \| david nedohin (four \| randy ferbey (skip \| scott pfeifer \| marcel rocque \| 2008 alta row 11 : 2008-09 \| david nedohin (four \| randy ferbey (skip \| scott pfeifer \| marcel rocque \| 2009 alta row 12 : 2009-10 \| david nedohin (four \| randy ferbey (skip \| scott pfeifer \| marcel rocque \| 2009 coct, 2010 alta row 13 : 2010-11 \| randy ferbey \| david nedohin \| blayne iskiw \| david harper \| 2011 alta row 14 : 2011-12 \| david nedohin (four \| randy ferbey (skip \| ted appelman \| brendan melnyk \| None row 15 : 2012-13 \| david nedohin \| colin hodgson \| mike westlund \| tom sallows \| None row 16 : 2013-14 \| kevin martin \| david nedohin \| marc kennedy \| ben hebert \| 2013 coct, 2014 alta ] Execute this SQL based on the above table: select count ( third ) where third = 'randy ferbey (skip)'	11
[ header: year \| winners \| score \| score \| runners-up \| venue \| winning captain row 1 : 2000 \| meath \| 5-14 (29) \| 2-10 (16) \| carlow \| cusack park \| None row 2 : 2001 \| kerry \| 4-14 (22) \| 3-10 (19) \| westmeath \| croke park \| michael 'boxer' row 3 : 2002 \| laois \| 1-20 (23) \| 2-14 (20) \| antrim \| semple stadium \| john lyons row 4 : 2003 \| antrim \| 3-18 (27) \| 3-12 (21) \| kerry \| croke park \| None row 5 : 2004 \| down \| 5-15 (30) \| 3-7 (16) \| westmeath \| gaelic grounds \| simon wilson row 6 : 2005 \| offaly \| 6-21 (39) \| 4-7 (19) \| carlow \| semple stadium \| barry teehan row 7 : 2006 \| dublin \| 0-16 (16) \| 1-6 (9) \| kerry \| semple stadium \| philip brennan row 8 : 2007 \| laois \| 2-19 (25) \| 0-8 (8) \| wicklow \| semple stadium \| joe fitzpatrick row 9 : 2008 \| westmeath \| 2-12 (18) \| 0-12 (12) \| carlow \| gaelic grounds \| brendan murtagh row 10 : 2009 \| offaly \| 1-13 (16) \| 0-13 (13) \| wexford \| semple stadium \| ger oakley row 11 : 2010 \| wexford \| 1-16 (19) \| 2-9 (15) \| clare \| semple stadium \| diarmuid lyng row 12 : 2011 \| limerick \| 4-12 (24) \| 2-13 (19) \| clare \| cusack park \| gavin o'mahony row 13 : 2012 \| clare \| 0-21 (21) \| 1-16 (19) \| limerick \| gaelic grounds \| patrick donnellan row 14 : 2013 \| dublin \| 1-16 (19) \| 1-15 (18) \| limerick \| semple stadium \| tbc ] Execute this SQL based on the above table: select venue where venue in ( 'cusack park' , 'semple stadium' ) order by winners - year desc limit 1	cusack park
[ header: name in english \| name in turkish \| area (km2) \| depth \| location (districts and/or provinces) row 1 : lake tuz \| tuz golu \| 1500 km2 \| 2 m \| aksaray, ankara, row 2 : lake egirdir \| egirdir golu \| 482 km2 \| None \| isparta row 3 : lake iznik \| iznik golu \| 308 km2 \| None \| iznik in bursa, row 4 : lake manyas \| manyas golu \| 166 km2 \| None \| balıkesir row 5 : lake acıgol \| acıgol \| 153 km2 \| None \| denizli, afyon row 6 : lake uluabat \| uluabat golu \| 134 km2 \| 1-2 m \| bursa row 7 : lake cıldır \| cıldır golu \| 115 km2 \| None \| ardahan, kars row 8 : lake palas tuzla \| palas tuzla gol \| 106 km2 \| 15 m \| palas/kayseri row 9 : lake hazar \| hazar golu \| 86 km2 \| None \| elazıg row 10 : lake koycegiz \| koycegiz golu \| 52 km2 \| None \| koycegiz in mugla row 11 : lake isıklı \| isıklı golu \| 49 km2 \| None \| denizli row 12 : lake yay \| yay golu \| 37 km2 \| None \| kayseri row 13 : lake tuzla \| tuzla golu \| 23 km2 \| None \| tuzla row 14 : lake kucukcekmece \| kucukcekmece gol \| 16 km2 \| None \| kucukcekmece, ist row 15 : lake yaraslı \| yaraslı golu \| 16 km2 \| None \| burdur row 16 : lake haclı \| haclı golu \| 16 km2 \| None \| mus row 17 : lake arin \| arin golu \| 13 km2 \| None \| None row 18 : lake balık \| balık golu \| 12 km2 \| None \| None row 19 : lake akdogan \| akdogan golu \| 11 km2 \| None \| None row 20 : lake cavuslu \| cavuslu golu \| 9 km2 \| None \| None row 21 : lake duden \| duden golu \| 8 km2 \| None \| None row 22 : lake gala \| gala golu \| 8 km2 \| None \| edirne row 23 : lake karatas \| karatas golu \| 6 km2 \| None \| None row 24 : lake eymir \| eymir golu \| 1.8 km2 \| None \| ankara row 25 : lake golcuk \| golcuk golu \| 1 km2 \| None \| izmir ] Execute this SQL based on the above table: select count ( name in english ) where area (km2) >= 173	3
[ header: year \| album \| territory \| label \| notes row 1 : 1989 \| good deeds and dirty rags \| uk \| capitol records \| debut album, reached no. 26 on uk row 2 : 1989 \| fish heads and tails \| uk \| capitol records \| mid-price live and rarities compilation row 3 : 1991 \| hammer and tongs \| uk \| radioactive records/mca \| second studio album; reached no. 61 on row 4 : 1991 \| goodbye mr. mackenzie \| international \| radioactive records/mca \| compilation of tracks from both albums, remixed row 5 : 1993 \| live on the day of storms \| uk \| blokshok records \| live album row 6 : 1994 \| five \| uk \| blokshok records \| third studio album row 7 : 1995 \| jezebel \| uk \| blokshok records \| rarities compilation row 8 : 1996 \| the glory hole \| uk \| blokshok records \| fourth and final studio album: manson, row 9 : 2005 \| the river sessions \| uk \| river records \| double live album row 10 : 2009 \| the rattler: live '91' \| uk \| md music company \| live album (digital release) ] Execute this SQL based on the above table: select album order by year desc limit 1	the rattler: live '91'
[ header: rank \| film \| year \| opening weekend (three day) \| inflation-adjusted (2014 usd) row 1 : 1 \| marvel's the avengers \| 2012 \| $207,438,708 \| $213,091,480 row 2 : 2 \| iron man 3 \| 2013 \| $174,144,585 \| $176,308,953 row 3 : 3 \| harry potter and the deathly hall \| 2011 \| $169,189,427 \| $177,373,590 row 4 : 4 \| the dark knight rises \| 2012 \| $160,887,295 \| $165,271,526 row 5 : 5 \| the dark knight \| 2008 \| $158,411,483 \| $173,518,111 row 6 : 6 \| the hunger games: catching fire \| 2013 \| $158,074,286 \| $160,038,924 row 7 : 7 \| the hunger games \| 2012 \| $152,535,747 \| $156,692,396 row 8 : 8 \| spider-man 3 \| 2007 \| $151,116,516 \| $171,876,545 row 9 : 9 \| the twilight saga: \| 2009 \| $142,839,137 \| $157,018,918 row 10 : 10 \| the twilight saga: \| 2012 \| $141,067,634 \| $144,911,773 row 11 : 11 \| the twilight saga: \| 2011 \| $138,122,261 \| $144,803,619 row 12 : 12 \| pirates of the caribbean: dead \| 2006 \| $135,634,554 \| $158,673,173 row 13 : 13 \| iron man 2 \| 2010 \| $128,122,480 \| $138,563,103 row 14 : 14 \| harry potter and the deathly hall \| 2010 \| $125,017,372 \| $135,204,962 row 15 : 15 \| shrek the third \| 2007 \| $121,629,270 \| $138,338,411 row 16 : 16 \| man of steel \| 2013 \| $116,619,362 \| $118,068,774 row 17 : 17 \| alice in wonderland \| 2010 \| $116,101,023 \| $125,562,025 row 18 : 18 \| spider-man \| 2002 \| $114,844,116 \| $150,582,840 row 19 : 19 \| pirates of the caribbean: at \| 2007 \| $114,732,820 \| $130,494,543 row 20 : 20 \| toy story 3 \| 2010 \| $110,307,189 \| $119,296,055 row 21 : 21 \| transformers: revenge of the fallen \| 2009 \| $108,966,307 \| $119,783,499 row 22 : 22 \| star wars episode iii: revenge \| 2005 \| $108,435,841 \| $130,939,650 row 23 : 23 \| shrek 2 \| 2004 \| $108,037,878 \| $134,895,074 row 24 : 24 \| x-men: the last stand \| 2006 \| $102,750,665 \| $120,203,691 row 25 : 25 \| harry potter and the goblet \| 2005 \| $102,685,961 \| $123,996,491 row 26 : 26 \| indiana jones and the kingdom of \| 2008 \| $100,137,835 \| $109,687,301 ] Execute this SQL based on the above table: select count ( film ) where year > 2013	0
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| brazil \| 9 \| 0 \| 0 \| 9 row 2 : 2 \| argentina \| 0 \| 7 \| 1 \| 8 row 3 : 3 \| uruguay \| 0 \| 1 \| 4 \| 5 row 4 : 4 \| dominican republic \| 0 \| 1 \| 0 \| 1 row 5 : 5 \| chile \| 0 \| 0 \| 1 \| 1 row 6 : 5 \| greenland \| 0 \| 0 \| 1 \| 1 row 7 : 5 \| paraguay \| 0 \| 0 \| 1 \| 1 row 8 : 5 \| puerto rico \| 0 \| 0 \| 1 \| 1 row 9 : total \| total \| 9 \| 9 \| 9 \| 27 ] Execute this SQL based on the above table: select count ( nation ) where nation = '9' and nation != 'brazil'	0
[ header: county \| obama \| votes \| romney \| votes \| others \| votes \| total row 1 : bernalillo \| 55.55% \| 147,183 \| 39.35% \| 104,242 \| 5.10% \| 13,517 \| 264,942 row 2 : catron \| 26.38% \| 560 \| 70.37% \| 1,494 \| 3.25% \| 69 \| 2,123 row 3 : chaves \| 32.28% \| 6,641 \| 64.77% \| 13,327 \| 2.95% \| 607 \| 20,575 row 4 : cibola \| 60.18% \| 4,907 \| 36.37% \| 2,966 \| 3.45% \| 281 \| 8,154 row 5 : colfax \| 49.05% \| 2,828 \| 46.83% \| 2,700 \| 4.11% \| 237 \| 5,765 row 6 : dona ana \| 55.97% \| 36,778 \| 41.07% \| 26,988 \| 2.96% \| 1,946 \| 65,712 row 7 : eddy \| 31.83% \| 6,110 \| 65.36% \| 12,546 \| 2.81% \| 539 \| 19,195 row 8 : grant \| 55.00% \| 7,009 \| 41.48% \| 5,286 \| 3.52% \| 449 \| 12,744 row 9 : guadalupe \| 69.68% \| 1,478 \| 26.12% \| 554 \| 4.20% \| 89 \| 2,121 row 10 : lea \| 23.98% \| 4,080 \| 73.75% \| 12,548 \| 2.27% \| 387 \| 17,015 row 11 : los alamos \| 48.72% \| 5,191 \| 45.02% \| 4,796 \| 6.26% \| 667 \| 10,654 row 12 : luna \| 47.77% \| 3,583 \| 48.93% \| 3,670 \| 3.29% \| 247 \| 7,500 row 13 : mckinley \| 72.08% \| 15,363 \| 25.43% \| 5,420 \| 2.49% \| 530 \| 21,313 row 14 : mora \| 74.85% \| 1,952 \| 22.81% \| 595 \| 2.34% \| 61 \| 2,608 row 15 : otero \| 34.15% \| 6,811 \| 62.23% \| 12,412 \| 3.62% \| 723 \| 19,946 row 16 : quay \| 37.32% \| 1,384 \| 59.39% \| 2,202 \| 3.29% \| 122 \| 3,708 row 17 : roosevelt \| 28.92% \| 1,730 \| 67.73% \| 4,052 \| 3.36% \| 201 \| 5,983 row 18 : san juan \| 34.11% \| 15,688 \| 62.57% \| 28,779 \| 3.32% \| 1,527 \| 45,994 row 19 : san miguel \| 76.86% \| 8,751 \| 20.04% \| 2,281 \| 3.10% \| 353 \| 11,385 row 20 : sandoval \| 50.29% \| 26,976 \| 45.17% \| 24,228 \| 4.53% \| 2,432 \| 53,636 row 21 : santa fe \| 73.37% \| 50,097 \| 22.48% \| 15,351 \| 4.15% \| 2,832 \| 68,280 row 22 : sierra \| 38.49% \| 1,964 \| 57.39% \| 2,928 \| 4.12% \| 210 \| 5,102 row 23 : socorro \| 56.37% \| 4,047 \| 37.89% \| 2,720 \| 5.74% \| 412 \| 7,179 row 24 : taos \| 78.06% \| 11,855 \| 17.84% \| 2,710 \| 4.10% \| 623 \| 15,188 row 25 : torrance \| 37.86% \| 2,414 \| 55.22% \| 3,521 \| 6.92% \| 441 \| 6,376 row 26 : union \| 26.83% \| 472 \| 70.27% \| 1,236 \| 2.90% \| 51 \| 1,759 row 27 : valencia \| 48.73% \| 13,473 \| 46.25% \| 12,788 \| 5.01% \| 1,386 \| 27,647 ] Execute this SQL based on the above table: select count ( * ) where obama = '34.11%'	1
[ header: game \| date \| opponent \| location \| score \| ot \| attendance \| record row 1 : 1 \| january 8, 2005 \| philadelphia wings \| arrowhead pond \| w 13-10 \| None \| 5,732 \| 1-0 row 2 : 2 \| january 22, 2005 \| rochester knighthawks \| arrowhead pond \| l 11-15 \| None \| 4,053 \| 1-1 row 3 : 3 \| january 28, 2005 \| @ minnesota swarm \| xcel energy center \| w 8-7 \| None \| 12,514 \| 2-1 row 4 : 4 \| january 29, 2005 \| calgary roughnecks \| arrowhead pond \| l 12-13 \| None \| 4,159 \| 2-2 row 5 : 5 \| february 4, 2005 \| @ arizona sting \| jobing.com arena \| l 10-17 \| None \| 6,313 \| 2-3 row 6 : 6 \| february 11, 2005 \| @ buffalo bandits \| hsbc arena \| l 9-20 \| None \| 8,805 \| 2-4 row 7 : 7 \| february 18, 2005 \| @ calgary roughnecks \| pengrowth saddledome \| l 15-18 \| None \| 9,550 \| 2-5 row 8 : 8 \| march 4, 2005 \| colorado mammoth \| arrowhead pond \| l 12-13 \| None \| 4,500 \| 2-6 row 9 : 9 \| march 13, 2005 \| toronto rock \| arrowhead pond \| l 6-14 \| None \| 4,499 \| 2-7 row 10 : 10 \| march 19, 2005 \| @ colorado mammoth \| pepsi center \| l 8-16 \| None \| 16,270 \| 2-8 row 11 : 11 \| march 25, 2005 \| @ san jose stealth \| hp pavilion at san jose \| l 14-15 \| None \| 5,022 \| 2-9 row 12 : 12 \| march 26, 2005 \| san jose stealth \| arrowhead pond \| w 13-12 \| ot \| 4,834 \| 3-9 row 13 : 13 \| april 2, 2005 \| @ colorado mammoth \| pepsi center \| w 10-6 \| None \| 18,326 \| 4-9 row 14 : 14 \| april 9, 2005 \| minnesota swarm \| arrowhead pond \| l 11-12 \| ot \| 4,967 \| 4-10 row 15 : 15 \| april 15, 2005 \| arizona sting \| arrowhead pond \| l 12-14 \| None \| 5,891 \| 4-11 row 16 : 16 \| april 16, 2005 \| @ arizona sting \| jobing.com arena \| w 11-10 \| None \| 7,731 \| 5-11 ] Execute this SQL based on the above table: select max ( attendance )	18326.0
[ header: rank \| name \| nationality \| time (hand) \| notes row 1 : 1 \| tommy green \| great britain \| 4:50:10 \| or row 2 : 2 \| janis dalins \| latvia \| 4:57:20 \| None row 3 : 3 \| ugo frigerio \| italy \| 4:59:06 \| None row 4 : 4 \| karl hahnel \| germany \| 5:06:06 \| None row 5 : 5 \| ettore rivolta \| italy \| 5:07:39 \| None row 6 : 6 \| paul sievert \| germany \| 5:16:41 \| None row 7 : 7 \| henri quintric \| france \| 5:27:25 \| None row 8 : 8 \| ernie crosbie \| united states \| 5:28:02 \| None row 9 : 9 \| bill chisholm \| united states \| 5:51:00 \| None row 10 : 10 \| alfred maasik \| estonia \| 6:19:00 \| None row 11 : None \| henry cieman \| canada \| None \| dnf row 12 : None \| john moralis \| greece \| None \| dnf row 13 : None \| francesco pretti \| italy \| None \| dnf row 14 : None \| arthur tell schwab \| switzerland \| None \| dnf row 15 : None \| harry hinkel \| united states \| None \| dnf ] Execute this SQL based on the above table: select nationality order by nationality asc limit 1	canada
[ header: year \| competition \| venue \| position \| notes row 1 : 1989 \| european indoor championships \| the hague, netherlands \| 10th \| None row 2 : 1989 \| world indoor championships \| budapest, hungary \| 9th \| None row 3 : 1991 \| world indoor championships \| lisbon, portugal \| 6th \| None row 4 : 1991 \| world championships \| tokyo, japan \| 5th \| 5.75 m nr row 5 : 1992 \| european indoor championships \| genoa, italy \| 5th \| None row 6 : 1993 \| world championships \| stuttgart, germany \| 11th \| None ] Execute this SQL based on the above table: select year where year = 1989	1989, 1989
[ header: year \| derby winner \| galaxy \| draw \| chivas row 1 : 2005 \| galaxy \| 5 \| 0 \| 0 row 2 : 2006 \| galaxy \| 2 \| 1 \| 1 row 3 : 2007 \| chivas \| 1 \| 1 \| 2 row 4 : 2008 \| galaxy \| 1 \| 2 \| 0 row 5 : 2009 \| galaxy \| 3 \| 2 \| 0 row 6 : 2010 \| galaxy \| 2 \| 0 \| 0 row 7 : 2011 \| galaxy \| 2 \| 0 \| 0 row 8 : 2012 \| galaxy \| 2 \| 0 \| 1 row 9 : 2013 \| galaxy \| 2 \| 1 \| 0 row 10 : total \| None \| 20 \| 7 \| 4 ] Execute this SQL based on the above table: select sum ( chivas )	8.0
[ header: pos \| class \| no \| team \| drivers \| chassis \| engine row 1 : 32 \| s 2.0 \| 27 \| societe roc \| laurent ferrier xavier la \| lola t294 \| roc-simca 2.0l i row 2 : 33 \| s 2.0 \| 29 \| societe roc \| pierre-marie painvin franz \| lola t292 \| roc-simca 2.0l i row 3 : 34 \| s 3.0 \| 3 \| christian poirot \| christian poirot gerard \| porsche 908/2 \| porsche 3.0l flat-8 row 4 : 35 \| gt \| 59 \| gelo racing team \| tim schenken howden ganley \| porsche 911 carrera rsr \| porsche 3.0l flat-6 row 5 : 36 \| s 3.0 \| 1 \| wicky racing team \| max cohen-olivar philippe \| porsche 908/2 \| porsche 3.0l flat-8 row 6 : 39 \| t \| 98 \| auto mazda claude bouche \| claude bouchet jean rondeau \| mazda rx-3 \| mazda 12a 1.2l 2- row 7 : 40 \| gt \| 57 \| ganto racing \| john rulon-miller tom \| porsche 911 carrera rsr \| porsche 3.0l flat-6 row 8 : 41 \| gt \| 60 \| gelo racing team \| toine hezemans manfred \| porsche 911 carrera rsr \| porsche 3.0l flat-6 row 9 : 42 \| gt \| 68 \| guy verrier \| guy verrier florian vetsch jean- \| porsche 911 carrera rs \| porsche 3.0l flat-6 row 10 : 43 \| gt \| 7 \| beurlys international auto \| pietro polese "willer" \| de tomaso pantera \| ford 5.8l v8 row 11 : 45 \| s 2.0 \| 26 \| elf switzerland \| marie-claude charmasson \| renault-alpine a44 \| renault 2.0l v6 row 12 : 46 \| s 3.0 \| 18 \| sigma automotive co. ltd \| hiroshi fushida har \| sigma mc75 \| toyota 2.3l turbo row 13 : 47 \| gt \| 16 \| joest racing / teber \| clemens schickentanz hartwig \| porsche 911 carrera rsr \| porsche 3.0l flat-6 row 14 : 48 \| gt \| 96 \| bonnemaison - thiaw \| lucien nageotte gerard pic \| porsche 911 carrera rsr \| porsche 3.0l flat-6 row 15 : 50 \| s 3.0 \| 97 \| gitanes automobiles ligier \| jean-pierre beltoise \| ligier js2 \| maserati 3.0l v6 row 16 : 52 \| s 2.0 \| 40 \| philippe mettetal \| jean ragnotti michel latest \| tecma 755 \| ford 1.8l i4 row 17 : 53 \| gt ser \| 83 \| jean-yves gadal \| jean-yves gadal " \| porsche 911 carrera rs \| porsche 2.6l flat-6 ] Execute this SQL based on the above table: select count ( class )	17
[ header: school name \| city \| grades \| establishment \| charter row 1 : aliamanu intermediate school \| honolulu \| 7-8 \| 1958 \| None row 2 : anuenue school \| honolulu \| k-12 \| 1958 \| charter row 3 : central middle school \| honolulu \| 6-8 \| 1926 \| None row 4 : dole middle school \| honolulu \| 6-8 \| 1955 \| None row 5 : halau ku mana nc \| honolulu \| 6-12 \| 2000 \| charter row 6 : jarrett middle school \| honolulu \| 6-8 \| 1955 \| None row 7 : kaimuki middle school \| honolulu \| 6-8 \| 1939 \| None row 8 : kalakaua middle school \| honolulu \| 6-8 \| 1928 \| None row 9 : kawananakoa middle school \| honolulu \| 6-8 \| 1927 \| None row 10 : moanalua middle school \| honolulu \| 7-8 \| 1967 \| None row 11 : niu valley middle school \| honolulu \| 6-8 \| 1955 \| None row 12 : stevenson middle school \| honolulu \| 6-8 \| 1937 \| None row 13 : washington middle school \| honolulu \| 6-8 \| 1854 \| None ] Execute this SQL based on the above table: select school name group by school name order by sum ( establishment ) desc limit 1	halau ku mana ncpcs
[ header: season \| tier \| division \| pos. \| notes row 1 : 2003-04 \| 1 \| division de honor \| 1st \| league champion row 2 : 2004-05 \| 1 \| division de honor \| 2nd \| cup champion row 3 : 2005-06 \| 1 \| division de honor \| 3rd \| None row 4 : 2006-07 \| 1 \| division de honor \| 3rd \| None row 5 : 2007-08 \| 1 \| division de honor \| 1st \| league champion row 6 : 2008-09 \| 1 \| division de honor \| 3rd \| None row 7 : 2009-10 \| 1 \| division de honor \| 2nd \| None row 8 : 2010-11 \| 1 \| division de honor \| 2nd \| None row 9 : 2011-12 \| 1 \| division de honor \| 9th \| relegated row 10 : 2012-13 \| 3 \| primera nacional \| 1st \| None row 11 : 2013-14 \| 3 \| primera nacional \| None \| None ] Execute this SQL based on the above table: select count ( notes ) where tier > 1	0
[ header: district \| counties represented \| delegate \| party \| first elected \| committee row 1 : 1a \| allegany, garrett \| wendell r. beitzel \| republican \| 2006 \| health and government operations row 2 : 1b \| allegany \| kevin kelly \| democratic \| 1986 \| judiciary row 3 : 1c \| allegany, washington \| leroy e. myers, j \| republican \| 2002 \| appropriations row 4 : 2a \| washington \| andrew a. serafini \| republican \| 2008 \| ways and means row 5 : 2b \| washington \| christopher b. shank \| republican \| 1998 \| judiciary row 6 : 2c \| washington \| john p. donoghu \| democratic \| 1990 \| health and government operations row 7 : 3a \| frederick \| galen r. clagett \| democratic \| 2002 \| appropriations row 8 : 3a \| frederick \| sue hecht \| democratic \| 1994 \| economic matters row 9 : 3b \| frederick, washington \| michael hough \| republican \| 2002 \| health and government operations row 10 : 4a \| frederick \| joseph r. bartlet \| republican \| 1998 \| ways and means row 11 : 4a \| frederick \| kelly m. schulz \| republican \| 2011 \| environmental matters row 12 : 4b \| carroll, frederick \| donald b. elliot \| republican \| 1986 \| health and government operations row 13 : 5a \| carroll \| tanya thornton shewell \| republican \| 2004 \| environmental matters row 14 : 5a \| carroll \| nancy r. stocksdale \| republican \| 1994 \| appropriations row 15 : 9b \| carroll \| susan w. krebs \| republican \| 2002 \| ways and means ] Execute this SQL based on the above table: select count ( district )	15
[ header: species \| common name \| ncbi accession # \| ncbi name \| length \| sequence identity \| sequence similarity \| years since divergence from human (mya) row 1 : pan troglodytes \| chimpanzee \| xp_003317262 \| depdc5 \| 1572 aa \| 99% \| 99% \| 6.4 row 2 : nomascus leucogenys \| gibbon \| xp_003258163 \| depdc5 \| 1602 aa \| 99% \| 99% \| 20.4 row 3 : mus musculus \| mouse \| np_001164038 \| depdc5 \| 1591 aa \| 94% \| 96% \| 92.4 row 4 : bos taurus \| cow \| xp_002694678 \| depdc5 \| 1593 aa \| 94% \| 96% \| 94.4 row 5 : sorex araneus \| shrew \| ace77702 \| depdc5 \| 1570 aa \| 94% \| 96% \| 94.4 row 6 : monodelphis domestica \| possum \| xp_001378772 \| depdc5 \| 1522 aa \| 89% \| 93% \| 163.9 row 7 : gallus gallus \| chicken \| xp_415249 \| depdc5 \| 1592 aa \| 88% \| 93% \| 301.7 row 8 : meleagris gallopavo \| turkey \| xp_003211073 \| depdc5 \| 1592 aa \| 88% \| 93% \| 301.7 row 9 : taeniopygi \| zebra finch \| xp_002199825 \| depdc5 \| 1572 aa \| 87% \| 92% \| 301.7 row 10 : xenopus tropicalis \| frog \| xp_002931964 \| depdc5-like \| 1574 aa \| 79% \| 86% \| 371.2 row 11 : danio rerio \| zebra fish \| xp_691450 \| depdc5-like \| 1590 aa \| 75% \| 84% \| 400.1 row 12 : oreochromis niloticus \| cichlid \| xp_003459226 \| depdc5 \| 1577 aa \| 74% \| 82% \| 400.1 row 13 : strongylocentrotus purpuratus \| sea urchin \| xp_794020 \| similar to depdc5 \| 1608 aa \| 43% \| 57% \| 742.9 row 14 : drosophila melanogaster \| drosophila \| np_647618 \| gc12090 \| 1471 aa \| 41% \| 57% \| 782.7 row 15 : pediculus humanus corporis \| louse \| xp_002429401 \| depdc, putative \| 1538 aa \| 38% \| 53% \| 782.7 row 16 : anopheles gambiae \| mosquito \| xp_308760 \| agap007010-pa \| 1640 aa \| 36% \| 51% \| 782.7 row 17 : ascaris suum \| ascaris \| ady40551 \| depdcp5 \| 1359 aa \| 31% \| 51% \| 937.5 row 18 : ustilago maydis \| corn smut \| xp_757759 \| vacuolar-associated protein iml1 \| 1867 aa \| 23% \| 52% \| 1215.8 row 19 : saccharomyces cerevisiae \| yeast \| np_012672 \| iml1p \| 1584 aa \| 20% \| 50% \| 1215.8 row 20 : albugo laibachii \| white rust \| cca27519 \| vacuolar membrane-associated protein putative \| 1591 aa \| 20% \| 46% \| 1362 ] Execute this SQL based on the above table: select count ( * ) where common name > species	8
[ header: pos. \| driver \| co-driver \| car \| time row 1 : 1 \| giandomenico basso \| lorenzo granai \| peugeot 207 s2000 \| 2h28m50.8s row 2 : 2 \| bruno magalhaes \| nuno r. silva \| peugeot 207 s2000 \| +07.3s row 3 : 3 \| miguel nunes \| joao paulo \| mitsubishi lancer x r4 \| + 3m30.8s row 4 : 4 \| pedro meireles \| mario castro \| skoda fabia s2000 \| +3m42.5s row 5 : 5 \| luca betti \| francesco pezzoli \| ford fiesta s2000 \| +4m04.1s row 6 : 6 \| filipe freitas \| daniel figueiroa \| mitsubishi lancer x r4 \| +5m36s row 7 : 7 \| filipe pires \| vasco rodrigues \| mitsubishi lancer x \| +9m11.2s row 8 : 8 \| luis serrado \| joao sousa \| peugeot 206 s1600 \| +10m53.7s row 9 : 9 \| jose camacho \| fernando spinola \| peugeot 206 s1600 \| +13m08.3s row 10 : 10 \| rui conceicao \| duarte coelho \| ford escort cosworth \| +16m50.1s ] Execute this SQL based on the above table: select count ( * ) where car = 'peugeot 206 s1600'	2
[ header: year \| men's winner \| time (h:m:s) \| women's winner \| time (h:m:s) \| finishers row 1 : 1996 \| zoltan kaldy (h \| 1:04:45 \| simona staicu (hun) \| 1:11:11 \| 1768 row 2 : 1997 \| keita fujino (jp \| 1:03:14 \| sachie ozaki (jp \| 1:11:04 \| 2535 row 3 : 1998 \| seiji hamada (jp \| 1:02:44 \| kazumi kanbayashi (j \| 1:10:37 \| 2703 row 4 : 1999 \| takaki morikawa (jp \| 1:03:28 \| tomoko tamamushi (j \| 1:12:15 \| 3422 row 5 : 2000 \| piotr gladki (pol) \| 1:04:45 \| mihaela botezan (rom) \| 1:10:17 \| 4024 row 6 : 2001 \| sreten ninkovic (y \| 1:04:43 \| beata rakonczai (h \| 1:13:33 \| 3912 row 7 : 2002 \| william kipsang (ken) \| 1:02:59 \| beata rakonczai (h \| 1:13:39 \| 4403 row 8 : 2003 \| miklos zatyko ( \| 1:05:53 \| aniko kalovics (hun) \| 1:11:08 \| 4470 row 9 : 2004 \| sreten ninkovic (s \| 1:06:51 \| aniko kalovics (hun) \| 1:11:18 \| 4601 row 10 : 2005 \| andras juhasz (h \| 1:05:57 \| eszter erdelyi \| 1:16:10 \| 5466 row 11 : 2006 \| barnabas bene (hun) \| 1:06:32 \| aniko kalovics (hun) \| 1:10:46 \| 4964 row 12 : 2007 \| balazs ott (h \| 1:07:19 \| krisztina papp \| 1:12:09 \| 5020 row 13 : 2008 \| roberto pasquale ruti \| 1:07:22 \| beata rakonczai (h \| 1:14:38 \| 4930 row 14 : 2009 \| erkolo ashenafi ( \| 1:07:24 \| krisztina papp \| 1:15:27 \| 4848 row 15 : 2010 \| laszlo toth (hun \| 1:04:38 \| krisztina papp \| 1:13:13 \| 5520 row 16 : 2011 \| tamas kovacs (h \| 1:06:03 \| aniko kalovics (hun) \| 1:15:04 \| 6203 row 17 : 2012 \| gabor jozsa (hun \| 1:06:36 \| krisztina papp \| 1:15:07 \| 6751 row 18 : 2013 \| henry kemboi (ken) \| 1:05:53 \| krisztina papp \| 1:12:32 \| 7436 ] Execute this SQL based on the above table: select men's winner order by year desc limit 1	henry kemboi (ken)
[ header: rank \| team \| names \| time \| qualification row 1 : 1 \| france \| christophe capelle philippe \| 4:09.570 \| q row 2 : 2 \| italy \| adler capelli mauro trent \| 4:09.695 \| q row 3 : 3 \| australia \| bradley mcgee stuart \| 4:09.750 \| q row 4 : 4 \| ukraine \| bohdan bondaryev ol \| 4:11.545 \| q row 5 : 5 \| russia \| eduard gritsun \| 4:11.665 \| q row 6 : 6 \| united states \| dirk copeland mariano friedick \| 4:11.950 \| q row 7 : 7 \| spain \| juan martinez juan \| 4:12.780 \| q row 8 : 8 \| new zealand \| gregory henderson bren \| 4:15.140 \| q row 9 : 9 \| germany \| robert bartko gui \| 4:15.140 \| None row 10 : 10 \| great britain \| robert hayes matthew \| 4:16.510 \| None row 11 : 11 \| lithuania \| arturas kasputis re \| 4:16.050 \| None row 12 : 12 \| netherlands \| jarich bakker robertus \| 4:16.175 \| None row 13 : 13 \| denmark \| frederik bertelsen j \| 4:16.175 \| None row 14 : 14 \| argentina \| walter perez edgardo \| 4:20.840 \| None row 15 : 15 \| south korea \| dae-hong chun young chung \| 4:25.215 \| None row 16 : 16 \| chile \| jose medina luis sepulve \| 4:25.960 \| None row 17 : 17 \| colombia \| john garcia marlon perez \| 4:26.400 \| None ] Execute this SQL based on the above table: select min ( qualification + team )	0
[ header: title \| year \| channel \| role \| notes row 1 : parkinson \| 2002 \| bbc one \| herself \| performed "we will rock you" and "we row 2 : loose women \| 2007 \| itv \| elphaba \| performed "the wizard and i" row 3 : i'd do anything \| 2008 \| bbc one \| herself \| mentored potential nancys at the row 4 : royal variety performance \| 2008 \| bbc one \| herself \| performed "defying gravity" with bri row 5 : over the rainbow \| 2010 \| bbc one \| herself \| mentored potential dorothys at row 6 : big brother's little brother \| 2010 \| e4 \| herself \| interview row 7 : tonight's the night \| 2010 \| bbc one \| herself \| performed "wind beneath my wings" with contestant row 8 : this morning \| 2010 \| itv \| herself \| interview; performed "anthem" with bri row 9 : breakfast \| 2010 \| bbc one \| herself \| interview row 10 : proms in the park \| 2010 \| bbc red button \| herself \| performed "dangerland", "i'm row 11 : the wright stuff \| 2010 \| channel 5 \| herself \| special guest panelist row 12 : festival of remembrance \| 2010 \| bbc one \| herself \| performed "anthem" with brian may row 13 : only men aloud - merry \| 2010 \| s4c \| herself \| performed "somebody to love" with only men row 14 : breakfast \| 2011 \| bbc one \| herself \| interview with brian may row 15 : 2011 laurence olivier awards \| 2011 \| bbc red button \| herself \| performed "look to the rainbow" with barry row 16 : the alan titchmarsh \| 2011 \| itv \| herself \| performed "defying gravity" row 17 : fern \| 2011 \| channel 4 \| herself \| interview; performed "i love a butterfly" row 18 : the hour \| 2011 \| stv \| herself \| interview; performed "i love a butterfly" row 19 : fa community shield \| 2011 \| sky sports \| herself \| performed the british national anthem row 20 : sanremo music festival 2012 \| 2012 \| rai 1 \| herself \| performed "i (who have nothing)" and row 21 : the voice uk \| 2012 \| bbc one \| herself \| auditioned for the show's first series row 22 : foxes live: wild in the city \| 2012 \| channel 4 \| herself \| appeared in a short film about saving fox row 23 : live with \| 2012 \| channel 5 \| herself \| interview with jeff wayne row 24 : the wright stuff \| 2012 \| channel 5 \| herself \| special guest panelist row 25 : itv news london \| 2013 \| itv \| herself \| interview about tiger tracks and animal conservation with row 26 : the late late show \| 2013 \| rte one \| herself \| interview; performed "life is real" with row 27 : this morning \| 2013 \| itv \| herself \| interview; performed "born free" with bri row 28 : the alan titchmarsh \| 2013 \| itv \| herself \| interview; performed "the kissing me song" row 29 : sunday brunch \| 2013 \| channel 4 \| herself \| interview with brian may row 30 : big brother's bit on the side \| 2013 \| channel 5 \| herself \| surprise guest panelist ] Execute this SQL based on the above table: select channel where year = ( select year where channel = 'rai 1' ) - 1	bbc one, bbc red button, itv, channel 4, stv, sky sports
[ header: date \| opponent# \| rank# \| site \| result \| attendance row 1 : september 9 \| northern illinois \| #4 \| memorial stadium • lincoln, \| w 48-17 \| 76194 row 2 : september 16 \| utah \| #4 \| memorial stadium • lincoln, \| w 42-30 \| 76333 row 3 : september 23 \| at minnesota \| #3 \| hubert h. humph \| w 48-0 \| 58368 row 4 : september 30 \| oregon state \| #3 \| memorial stadium • lincoln, \| w 35-7 \| 76290 row 5 : october 7 \| kansas state \| #4 \| memorial stadium • lincoln, \| w 58-7 \| 76265 row 6 : october 14 \| at missouri \| #4 \| faurot field • columbia \| w 50-7 \| 55620 row 7 : october 21 \| at oklahoma state \| #4 \| lewis field • stillwater, o \| w 48-23 \| 40000 row 8 : october 28 \| iowa state \| #4 \| memorial stadium • lincoln, \| w 49-17 \| 52877 row 9 : november 4 \| at #2 colorado \| #3 \| folsom field • boulder, colorad \| l 21-27 \| 52877 row 10 : november 11 \| kansas \| #6 \| memorial stadium • lincoln, \| w 51-14 \| 76232 row 11 : november 18 \| oklahoma \| #6 \| memorial stadium • lincoln, \| w 42-25 \| 76404 row 12 : january 1 \| vs. #5 florida state \| #6 \| sun devil stadium • tempe, ari \| l 17-41 \| 73953 ] Execute this SQL based on the above table: select date where id = ( select id where date = 'november 11' ) + 1	november 18
[ header: no. \| country \| 2009 winter universiade \| 2007 wjcc \| 2007 wwcc \| 2008 wjcc \| 2008 wwcc \| points row 1 : 1 \| canada \| 24 \| 12 \| 9 \| 12 \| 10 \| 67 row 2 : 2 \| china \| 28 \| None \| 14 \| 4 \| 6 \| 52 row 3 : 3 \| sweden \| 10 \| 5 \| 12 \| 14 \| 9 \| 50 row 4 : 4 \| great britain \| 16 \| 14 \| 5 \| 1 \| 12 \| 48 row 5 : 5 \| russia \| 20 \| 8 \| 6 \| 6 \| 5 \| 45 row 6 : 6 \| united states \| 4 \| 6 \| 4 \| 10 \| 8 \| 32 row 7 : 7 \| switzerland \| None \| 10 \| 8 \| 8 \| 3 \| 29 row 8 : 8 \| germany \| None \| None \| 7 \| 2 \| 14 \| 23 row 9 : 9 \| denmark \| None \| 3 \| 10 \| None \| 7 \| 20 row 10 : 10 \| czech republic \| 12 \| 4 \| None \| 3 \| None \| 19 row 11 : 11 \| south korea \| 8 \| None \| 3 \| None \| None \| 11 row 12 : 12 \| japan \| 6 \| 1 \| None \| None \| 2 \| 9 row 13 : 13 \| france \| None \| 2 \| None \| 5 \| None \| 7 row 14 : 14 \| norway \| None \| None \| 2 \| None \| 4 \| 6 row 15 : 15 \| poland \| 2 \| None \| None \| None \| None \| 2 row 16 : 16 \| italy \| None \| None \| 1 \| None \| None \| 1 row 17 : 17 \| latvia \| None \| None \| None \| None \| 1 \| 1 row 18 : None \| turkey (host) \| None \| None \| None \| None \| None \| 0 ] Execute this SQL based on the above table: select country where 2007 wwcc = ( select min ( 2007 wwcc ) )	italy
[ header: res. \| record \| opponent \| method \| event \| date \| round \| time \| location \| notes row 1 : loss \| 7-1 \| cristiane justino \| tko (punches) \| strikeforce: carano vs. \| august 15, 2009 \| 1 \| 4:59 \| san jose, californ \| for the women's featherweight championship row 2 : win \| 7-0 \| kelly kobold \| decision (unanimous) \| elitexc: heat \| october 4, 2008 \| 3 \| 3:00 \| sunrise, florida, united states \| None row 3 : win \| 6-0 \| kaitlin young \| tko (doctor stoppage \| elitexc: primetime \| may 31, 2008 \| 2 \| 3:00 \| newark, new jersey, united states \| 144 lb catchweight row 4 : win \| 5-0 \| tonya evinger \| submission (rear naked choke) \| elitexc: uprising \| september 15, 2007 \| 1 \| 2:53 \| oahu, hawai \| 141 lb row 5 : win \| 4-0 \| julie kedzie \| decision (unanimous) \| elitexc: destiny \| february 10, 2007 \| 3 \| 3:00 \| southaven, mississippi \| elitexc debut, 141 lb row 6 : win \| 3-0 \| elaina maxwell \| decision (unanimous) \| strikeforce: triple threat \| december 8, 2006 \| 3 \| 2:00 \| san jose, californ \| strikeforce debut, 150 lb bout row 7 : win \| 2-0 \| rosi sexton \| ko (punch) \| world pro fighting championships 1 \| september 15, 2006 \| 2 \| 4:55 \| las vegas, nevada \| 138 lb catchweight row 8 : win \| 1-0 \| leiticia pestova \| ko (punches and elbows) \| world extreme fighting \| june 10, 2006 \| 1 \| 0:38 \| las vegas, nevada \| fought at 135 lbs ] Execute this SQL based on the above table: select record where id = ( select id where record = '4-0' ) + 1	3-0
[ header: rank \| name \| nationality \| time row 1 : None \| sule utura \| ethiopia \| 15:38.70 row 2 : None \| emebet anteneh men \| ethiopia \| 15:40.13 row 3 : None \| pauline korikwiang \| kenya \| 15:40.93 row 4 : 4 \| hyvin jepkemoi \| kenya \| 15:42.64 row 5 : 5 \| esther ndiema \| kenya \| 15:43.48 row 6 : 6 \| goytetom gebresil \| ethiopia \| 15:49.90 row 7 : 7 \| angeline myiramsabimana \| rwanda \| 16:24.04 row 8 : 8 \| mekdes weldu \| eritrea \| 16:42.69 row 9 : 9 \| thandiwe nyathy \| zimbabwe \| 17:13.00 ] Execute this SQL based on the above table: select nationality group by nationality order by count ( * ) desc limit 1	kenya
[ header: tie no \| home team \| score \| away team \| date row 1 : 1 \| enfield \| 1-1 \| leyton orient \| 19 november 1988 row 2 : replay \| leyton orient \| 2-2 \| enfield \| 23 november 1988 row 3 : replay \| leyton orient \| 0-1 \| enfield \| 28 november 1988 row 4 : 2 \| blackpool \| 2-1 \| scunthorpe united \| 19 november 1988 row 5 : 3 \| darlington \| 1-2 \| notts county \| 19 november 1988 row 6 : 4 \| bath city \| 2-0 \| grays athletic \| 19 november 1988 row 7 : 6 \| burnley \| 0-2 \| chester city \| 19 november 1988 row 8 : 7 \| preston north end \| 1-1 \| tranmere rovers \| 19 november 1988 row 9 : replay \| tranmere rovers \| 3-0 \| preston north end \| 22 november 1988 row 10 : 9 \| reading \| 4-2 \| hendon \| 19 november 1988 row 11 : 10 \| woking \| 1-4 \| cambridge united \| 19 november 1988 row 12 : 11 \| gillingham \| 3-3 \| peterborough united \| 19 november 1988 row 13 : replay \| peterborough united \| 1-0 \| gillingham \| 23 november 1988 row 14 : 12 \| bolton wanderers \| 0-0 \| chesterfield \| 19 november 1988 row 15 : replay \| chesterfield \| 2-3 \| bolton wanderers \| 28 november 1988 row 16 : 13 \| grimsby town \| 1-0 \| wolverhampton wanderers \| 19 november 1988 row 17 : 14 \| stafford rangers \| 2-2 \| crewe alexandra \| 19 november 1988 row 18 : replay \| crewe alexandra \| 3-2 \| stafford rangers \| 22 november 1988 row 19 : 15 \| scarborough \| 2-1 \| stockport county \| 19 november 1988 row 20 : replay \| doncaster rovers \| 2-1 \| brandon united \| 22 november 1988 row 21 : 17 \| fulham \| 0-1 \| colchester united \| 19 november 1988 row 22 : 18 \| brentford \| 2-0 \| halesowen town \| 19 november 1988 row 23 : 20 \| altrincham \| 3-2 \| lincoln city \| 19 november 1988 row 24 : 23 \| mansfield town \| 1-1 \| sheffield united \| 19 november 1988 row 25 : replay \| sheffield united \| 2-1 \| mansfield town \| 22 november 1988 row 26 : 25 \| halifax town \| 1-0 \| york city \| 19 november 1988 row 27 : 27 \| southport \| 0-2 \| port vale \| 19 november 1988 row 28 : 28 \| runcorn \| 2-2 \| wrexham \| 19 november 1988 row 29 : replay \| wrexham \| 2-3 \| runcorn \| 22 november 1988 row 30 : 29 \| torquay united \| 2-2 \| fareham town \| 19 november 1988 row 31 : 30 \| kettering town \| 2-1 \| dartford \| 19 november 1988 row 32 : 31 \| rotherham united \| 3-1 \| barrow \| 19 november 1988 row 33 : 34 \| waterlooville \| 1-4 \| aylesbury united \| 19 november 1988 row 34 : 35 \| telford united \| 1-1 \| carlisle united \| 19 november 1988 row 35 : replay \| carlisle united \| 4-1 \| telford united \| 22 november 1988 row 36 : 36 \| swansea city \| 3-1 \| northampton town \| 19 november 1988 row 37 : 37 \| frickley athletic \| 0-2 \| northwich victoria \| 19 november 1988 row 38 : 38 \| hartlepool united \| 2-0 \| wigan athletic \| 19 november 1988 row 39 : 39 \| welling united \| 3-0 \| bromsgrove rovers \| 19 november 1988 ] Execute this SQL based on the above table: select home team where away team = 'scunthorpe united'	blackpool
[ header: school name \| city \| grades \| establishment \| charter row 1 : aliamanu intermediate school \| honolulu \| 7-8 \| 1958 \| None row 2 : anuenue school \| honolulu \| k-12 \| 1958 \| charter row 3 : central middle school \| honolulu \| 6-8 \| 1926 \| None row 4 : dole middle school \| honolulu \| 6-8 \| 1955 \| None row 5 : halau ku mana nc \| honolulu \| 6-12 \| 2000 \| charter row 6 : jarrett middle school \| honolulu \| 6-8 \| 1955 \| None row 7 : kaimuki middle school \| honolulu \| 6-8 \| 1939 \| None row 8 : kalakaua middle school \| honolulu \| 6-8 \| 1928 \| None row 9 : kawananakoa middle school \| honolulu \| 6-8 \| 1927 \| None row 10 : moanalua middle school \| honolulu \| 7-8 \| 1967 \| None row 11 : niu valley middle school \| honolulu \| 6-8 \| 1955 \| None row 12 : stevenson middle school \| honolulu \| 6-8 \| 1937 \| None row 13 : washington middle school \| honolulu \| 6-8 \| 1854 \| None ] Execute this SQL based on the above table: select establishment where establishment = 1955	1955, 1955, 1955
[ header: # \| title \| date \| director \| story \| synopsis \| notes row 1 : 13 \| sacre bleu cross \| february 1, 1967 \| gerry chiniquy \| john w. dunn \| when they go after hassan the ass \| the commissioner does not appear row 2 : 14 \| le quiet squad \| may 17, 1967 \| robert mckimson \| jim ryan \| the commissioner is overworked and needs absolute \| sgt. deux-deux does row 3 : 15 \| bomb voyage \| may 22, 1967 \| robert mckimson \| tony benedict \| the commissioner is kidnapped by alien \| music score is set to ottorin row 4 : 16 \| le pig-al patrol \| may 24, 1967 \| gerry chiniquy \| jim ryan \| the inspector is sent after biker pig al \| sgt. deux-deux does row 5 : 17 \| le bowser bagger \| may 30, 1967 \| gerry chiniquy \| jim ryan \| the inspector is given private bowser, \| sgt. deux-deux does row 6 : 18 \| le escape goat \| june 29, 1967 \| gerry chiniquy \| jim ryan \| after being fired for letting louie le \| sgt. deux-deux does row 7 : 19 \| le cop on le rocks \| july 3, 1967 \| george singer \| jim ryan \| the inspector is sent to prison having been mistaken \| sgt. deux-deux and row 8 : 20 \| crow de guerre \| august 16, 1967 \| gerry chiniquy \| john w. dunn \| the inspector is continually outwitted by a \| sgt. deux-deux and row 9 : 21 \| canadian can-can \| september 20, 1967 \| gerry chiniquy \| john w. dunn \| sent to canada on an exchange programme, the inspector \| sgt. deux-deux does row 10 : 22 \| tour de farce \| october 25, 1967 \| gerry chiniquy \| jim ryan \| through his own mistake, the inspector is strand \| sgt. deux-deux and row 11 : 23 \| the shooting of caribou lou \| december 20, 1967 \| gerry chiniquy \| john w. dunn \| on holiday in canada as a mountie \| sgt. deux-deux and ] Execute this SQL based on the above table: select synopsis order by notes desc limit 1	when they go after hassan the assassin, deux-deux gives the inspector an unlucky rabbit's foot
[ header: edition \| year \| men's winner \| time (m:s) \| women's winner \| time (m:s) row 1 : 1st \| 1990 \| marti ten kate (n \| 47:52 \| alison gooderham (gbr \| 56:09 row 2 : 2nd \| 1991 \| thomas naali (t \| 47:11 \| olga bondarenko (urs \| 53:16 row 3 : 3rd \| 1992 \| boay akonay (t \| 47:04 \| iulia negura (rom) \| 53:19 row 4 : 4th \| 1993 \| gary staines (gbr) \| 46:11 \| iulia negura (rom) \| 53:01 row 5 : 5th \| 1994 \| gary staines (gbr) \| 47:00 \| gitte karlshø \| 54:49 row 6 : 6th \| 1995 \| benson masya (ken) \| 45:56 \| liz mccolgan (gb \| 53:12 row 7 : 7th \| 1996 \| gary staines (gbr) \| 46:57 \| derartu tulu (eth) \| 52:39 row 8 : 8th \| 1997 \| christopher kelong (ken) \| 46:53 \| liz mccolgan (gb \| 52:00 row 9 : 9th \| 1998 \| stephane franke (ger) \| 47:40 \| marian sutton (gbr) \| 54:17 row 10 : 10th \| 1999 \| simon kasimili (ken) \| 47:42 \| esther kiplagat (ken) \| 54:42 row 11 : 11th \| 2000 \| gert thys (rs \| 48:26 \| restituta joseph (tan \| 55:10 row 12 : 12th \| 2001 \| khalid skah (mar) \| 46:17 \| restituta joseph (tan \| 52:36 row 13 : 13th \| 2002 \| simon kasimili (ken) \| 47:27 \| sonia o'sullivan \| 51:00 row 14 : 14th \| 2003 \| john yuda (tan \| 46:35 \| sonia o'sullivan \| 53:26 row 15 : 15th \| 2004 \| hendrick ramaala (r \| 47:14 \| benita johnson (aus) \| 52:32 row 16 : 16th \| 2005 \| john yuda (tan \| 46:45 \| derartu tulu (eth) \| 51:27 row 17 : 17th \| 2006 \| simon arusei (ken) \| 47:17 \| jo pavey (gbr) \| 52:46 row 18 : 18th \| 2007 \| luke kibet (ken \| 47:31 \| rose cheruiyot (ken \| 53:44 row 19 : 19th \| 2008 \| bernard kipyego ( \| 46:42 \| paula radcliffe (gb \| 51:11 row 20 : 20th \| 2009 \| mo farah (gbr) \| 46:25 \| ines monteiro (por) \| 52:32 row 21 : 21st \| 2010 \| joseph ebuya (ken \| 45:15 \| grace momanyi (ken) \| 52:03 row 22 : 22nd \| 2011 \| leonard komon (ken) \| 46:18 \| aselefech mergia (eth \| 52:55 row 23 : 23rd \| 2012 \| stephen mokoka (rsa \| 46:40 \| jo pavey (grb) \| 53:01 row 24 : 24th \| 2013 \| emmanuel bett ( \| 48:03 \| florence kiplagat (ken) \| 53:53 ] Execute this SQL based on the above table: select sum ( time (m:s) )	1266
[ header: rank \| name \| nationality \| time row 1 : None \| gustavo borges \| brazil \| 1:49.41 row 2 : None \| scott tucker \| united states \| 1:50.99 row 3 : None \| leonardo costa \| brazil \| 1:51.29 row 4 : None \| mark johnston \| canada \| 1:51.29 row 5 : 5 \| nate boyle \| united states \| 1:52.83 row 6 : 6 \| yannick lupien \| canada \| 1:52.92 row 7 : 7 \| joshua ilika \| mexico \| 1:53.73 row 8 : 8 \| javier diaz \| mexico \| 1:54.01 ] Execute this SQL based on the above table: select ( select time where name = 'joshua ilika' ) - ( select time where name = 'javier diaz' )	0
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| soviet union \| 50 \| 27 \| 22 \| 99 row 2 : 2 \| united states \| 33 \| 31 \| 30 \| 94 row 3 : 3 \| east germany (gdr) \| 20 \| 23 \| 23 \| 66 row 4 : 4 \| west germany (frg) \| 13 \| 11 \| 16 \| 40 row 5 : 5 \| japan \| 13 \| 8 \| 8 \| 29 row 6 : 6 \| australia \| 8 \| 7 \| 2 \| 17 row 7 : 7 \| poland \| 7 \| 5 \| 9 \| 21 row 8 : 8 \| hungary \| 6 \| 13 \| 16 \| 35 row 9 : 9 \| bulgaria \| 6 \| 10 \| 5 \| 21 row 10 : 10 \| italy \| 5 \| 3 \| 10 \| 18 ] Execute this SQL based on the above table: select nation where bronze = 22	soviet union
[ header: symbol \| gsi \| meaning \| unicode \| description row 1 : ◬ \| ○ \| base triangulation surveying point \| u+25ec \| dot in upward-pointing triangle row 2 : None \| ○ \| electronic triangulation point \| None \| dot in upward-pointing triangle with flag row 3 : ⊡ \| ○ \| benchmark \| u+22a1 \| dot in square row 4 : ⛭ \| ○ \| factory \| u+26ed \| gear without hub row 5 : ⛯ \| ○ \| lighthouse \| u+26ef \| map symbol for lighthouse row 6 : ⛮ \| ○ \| power station \| u+26ee \| gear with handles row 7 : 文 \| ○ \| elementary or junior high school \| u+6587 \| kanji bun row 8 : 文 \| ○ \| high school \| None \| kanji bun in a circle row 9 : None \| ○ \| university \| None \| kanji bun with a smaller ka row 10 : None \| ○ \| technical college \| None \| kanji bun with a smaller ka row 11 : 〒 \| ○ \| post office \| u+3036 \| down tack (t-shape row 12 : 〒 \| × \| sub post office (not distribution centre) \| u+3012 \| down tack (t-shape row 13 : ⭙ \| ○ \| police station \| u+2b59 \| heavy circled saltire row 14 : ☓ \| ○ \| koban (police box) \| u+2613 \| diagonal cross (saltire) row 15 : ⊕ \| ○ \| public health centre \| u+2295 \| greek cross in circle row 16 : ⛨ \| ○ \| hospital \| None \| greek cross in shield row 17 : ⭖ \| ○ \| prefectural office \| u+26fb \| oval bullseye row 18 : ⭗ \| ○ \| city hall \| u+2b57 \| heavy circle with circle inside row 19 : ◉ \| ○ \| ward office \| u+25c9 \| fisheye row 20 : ⭘ \| ○ \| town hall \| u+2b58 \| heavy circle row 21 : ⛩ \| ○ \| shinto shrine \| u+26e9 \| shinto shrine row 22 : 卍 \| ○ \| buddhist temple \| u+534d \| manji (swastika) row 23 : ⛫ \| ○ \| castle \| u+26eb \| castle row 24 : ⛼ \| ○ \| cemetery \| u+26fc \| headstone graveyard symbol row 25 : ♨ \| ○ \| onsen (hot springs) \| u+2668 \| oval with three vertical wavy lines row 26 : ⛬ \| ○ \| historical landmark \| u+26ec \| historic site row 27 : ⛰ \| ○ \| summit \| u+26f0 \| mountain ] Execute this SQL based on the above table: select gsi where gsi in ( '○' , '○' ) and symbol = '⛯'	○

inputs stringlengths 291 3.71k	targets stringlengths 1 2.65k
[ header: first issued \| design \| slogan \| serial format \| serials issued \| notes row 1 : 1913 \| red lettering and white background painted on porcelain- \| none \| 12345 \| None \| steel registration seal on right side between "n. row 2 : 1933 \| orange lettering embossed on black base \| none \| a12345 \| None \| county letter code at left row 3 : 1952-56 \| orange lettering embossed on black base \| none \| a/b 123; a/ \| None \| tab for subsequent years inserted over original date row 4 : 1959 \| black on buff, non-reflective, \| garden state embossed in plain block letters below \| abc-123 \| aaa-100 to rh \| None row 5 : 1960 \| black on buff, non-reflective, \| in transit embossed in plain block letters below \| f-86-3 \| f-11-3 to f-99- \| from the collection of richard watson row 6 : 1970 \| black on buff, non-reflective, \| garden state embossed in plain block letters below \| abc-123 \| uaa-100 to yzz \| None row 7 : 1973 \| black on buff, non-reflective, \| garden state embossed in plain block letters below \| 123-abc \| 100-aaa to 999-h \| None row 8 : 1977 \| black on buff, non-reflective, \| garden state embossed in plain block letters below \| 123-abc \| 100-hca to 999-kzz \| None row 9 : 1979 \| yellow on blue, non-reflective, \| garden state embossed in plain block letters below \| 123-abc; new jersey state \| 100-laa to 999-zzz \| None row 10 : 1985 \| yellow on blue, non-reflective, \| garden state embossed in plain block letters below \| abc-123; new jersey state icon used \| zaa-100 to zzz- \| None row 11 : 1999 \| black embossed numbers on yellow to white gradient \| garden state screened in black plain block letters below \| abc-12d; new jersey state icon used \| jaa-10a to vzt- \| None row 12 : 2010 \| black embossed numbers on yellow to white gradient \| garden state screened in black plain block letters below \| a12-abc; new jersey \| a10-aaa to present 4, \| k43-ecg (current highest ] Execute this SQL based on the above table: select serials issued where notes != 'k43-ecg (current highest series known on 03-26-2014)'	f-11-3 to f-99-31, 2, 5
[ header: year built \| works number \| wheel arr. \| gauge \| original owner \| name \| current location \| notes row 1 : 1882 \| 283 \| 0-4-0st \| 1 ft 10 3⁄4 in (5 \| penrhyn quarry \| charles \| penrhyn castle railway museum \| None row 2 : 1883 \| 316 \| 0-4-0st \| 2 ft \| penrhyn quarry \| gwynedd \| bressingham steam museum \| penrhyn port class row 3 : 1883 \| 317 \| 0-4-0st \| 1 ft 11 1⁄2 in (5 \| penrhyn quarry \| lilian \| launceston steam railway \| penrhyn port class row 4 : 1889 \| 493 \| 0-4-0st \| 1 ft 11 3⁄4 in (6 \| dinorwic quarry \| elidir \| llanberis lake railway \| previously named "red damsel" row 5 : 1890 \| 518 \| 2-2-0t \| (1000mm) \| s.v.t. 8 \| tortosa-la cava1 \| tortosa (catalonia, spa \| None row 6 : 1891 \| 554 \| 0-4-0st \| 1 ft 11 1⁄2 in (5 \| cilgwyn quarry, then penr \| lilla \| ffestiniog railway \| None row 7 : 1894 \| 606 \| 0-4-0st \| 2 ft \| penrhyn quarry \| alan george \| teifi valley railway \| None row 8 : 1896 \| 652 \| 0-4-0st \| 1 ft 11 1⁄2 in (5 \| groby granite, then dinorwic \| lady madcap \| welsh highland heritage railway \| originally named sextus row 9 : 1898 \| 680 \| 0-4-0st \| 2 ft (610 mm) \| dinorwic quarry \| george b \| bala lake railway \| None row 10 : 1898 \| 684 \| 0-4-0wt \| 18 in (457 mm) \| john knowles co \| jack \| armley mills industrial museum, leed \| None row 11 : 1899 \| 705 \| 0-4-0st \| 2 ft (610 mm) \| penrhyn quarry \| elin \| yaxham light railway \| previously at the lincolnshire coast row 12 : 1901 \| 763 \| 0-4-0st \| 1 ft 11 1⁄2 in (5 \| dorothea quarry \| dorothea \| launceston steam railway \| None row 13 : 1903 \| 823 \| 0-4-0st \| 2 ft \| dinorwic quarry \| irish mail \| west lancashire light railway \| None row 14 : 1909 \| 994 \| 0-4-0st \| 2 ft \| penrhyn quarry \| bill harvey \| bressingham steam museum \| previously george sholto row 15 : 1918 \| 1312 \| 4-6-0t \| 1 ft 11 1⁄2 in (5 \| british war department efo \| None \| pampas safari, gravatai \| [citation needed] row 16 : 1920 \| 1404 \| 0-4-0wt \| 18 in (457 mm) \| john knowles co \| gwen \| richard farmer current owner, northridge, \| None row 17 : 1922 \| 1429 \| 0-4-0st \| 2 ft (610 mm) \| dinorwic \| lady joan \| bredgar and wormshill light \| None row 18 : 1922 \| 1430 \| 0-4-0st \| 1 ft 11 3⁄4 in (6 \| dinorwic quarry \| dolbadarn \| llanberis lake railway \| None ] Execute this SQL based on the above table: select gauge where name = 'elin'	2 ft (610 mm)
[ header: year \| laetare medalist \| position row 1 : 1884 \| patrick charles keely \| architect row 2 : 1889 \| anna hanson dorsey \| novelist row 3 : 1890 \| william j. onahan \| organizer of the american catholic congress row 4 : 1892 \| henry f. brownson \| philosopher and author row 5 : 1899 \| mary gwendolin caldwell \| philanthropist row 6 : 1906 \| francis j. quinlan \| physician row 7 : 1908 \| james c. monaghan \| economist row 8 : 1911 \| agnes repplier \| author row 9 : 1913 \| charles george herbermann \| editor of the catholic encyclopedia row 10 : 1916 \| james joseph wals \| physician and author row 11 : 1917 \| admiral william shepherd benson \| chief of naval operations row 12 : 1922 \| charles patrick neill \| economist row 13 : 1923 \| walter george smith \| lawyer row 14 : 1924 \| charles donagh maginnis \| architect row 15 : 1925 \| albert francis zahm \| scientist row 16 : 1927 \| margaret anglin \| actress row 17 : 1932 \| stephen j. maher \| physician row 18 : 1936 \| richard reid \| journalist and lawyer row 19 : 1941 \| william thomas wals \| journalist and author row 20 : 1942 \| helen constance white \| author and teacher row 21 : 1944 \| anne o'hare mc \| journalist row 22 : 1945 \| gardiner howland shaw \| diplomat row 23 : 1947 \| william g. bruce \| publisher and civic leader row 24 : 1950 \| general joseph l. collin \| soldier row 25 : 1952 \| thomas e. murray \| member of the u.s. atomic row 26 : 1953 \| i.a. o'sh \| philanthropist row 27 : 1956 \| general alfred m. gruent \| soldier row 28 : 1958 \| frank m. folsom \| industrialist row 29 : 1964 \| phyllis mcginley \| poet row 30 : 1966 \| patrick f. & patricia car \| founders of the christian movement row 31 : 1967 \| j. peter grace \| industrialist row 32 : 1968 \| robert sargent shriver \| diplomat row 33 : 1977 \| mike mansfield \| former senate majority leader row 34 : 1979 \| helen hayes \| actress row 35 : 1980 \| thomas p. (tip) \| speaker of the house row 36 : 1982 \| john francis cardinal dearden \| archbishop emeritus of row 37 : 1984 \| john t. noonan, j \| lawyer row 38 : 1990 \| sister thea bowman (posthumously) \| educator row 39 : 1996 \| sister helen prejean \| death penalty abolitionist row 40 : 1998 \| dr. edmund \| medical ethicist and educator row 41 : 1999 \| philip gleason \| professor emeritus of history, notre row 42 : 2008 \| martin sheen \| actor row 43 : 2009 \| not awarded (see below) \| None row 44 : 2010 \| dana gioia \| former chairman of national endowment for the arts row 45 : 2011 \| sister mary scullion, r \| social advocates ] Execute this SQL based on the above table: select laetare medalist order by year desc limit 1	sister mary scullion, r.s.m., & joan mcconnon
[ header: year \| division \| league \| regular season \| playoffs \| open cup row 1 : 2006 \| 4 \| usl pdl \| 4th, heartland \| did not qualify \| did not qualify row 2 : 2007 \| 4 \| usl pdl \| 2nd, heartland \| conference semifinals \| did not qualify row 3 : 2008 \| 4 \| usl pdl \| 4th, heartland \| did not qualify \| 1st round row 4 : 2009 \| 4 \| usl pdl \| 4th, heartland \| did not qualify \| did not qualify row 5 : 2010 \| 4 \| usl pdl \| 5th, heartland \| did not qualify \| did not qualify row 6 : 2011 \| 4 \| usl pdl \| 5th, heartland \| did not qualify \| did not qualify row 7 : 2012 \| 4 \| usl pdl \| 7th, heartland \| did not qualify \| did not qualify row 8 : 2013 \| 4 \| usl pdl \| 5th, heartland \| did not qualify \| did not qualify ] Execute this SQL based on the above table: select regular season where year > 1960 order by year desc limit 1	5th, heartland
[ header: date \| team \| name \| position \| years in nba \| notes row 1 : april 23, 2009 \| houston rockets \| dikembe mutombo \| c \| 18 \| suffered a season-ending injury row 2 : may 21, 2009 \| free agent \| sam cassell \| g \| 15 \| became an assistant coach of the wizards row 3 : september 3, 2009 \| free agent \| bruce bowen \| f \| 12 \| None row 4 : october 22, 2009 \| free agent \| mark madsen \| f \| 9 \| became an assistant coach of the uta row 5 : october 23, 2009 \| free agent \| bobby jackson \| g \| 12 \| None row 6 : october 23, 2009 \| free agent \| tyronn lue \| g \| 11 \| became the director of basketball development of the celtics row 7 : november 5, 2009 \| free agent \| darrick martin \| g \| 14 \| named assistant director of player development of timberwolves ] Execute this SQL based on the above table: select ( select years in nba where team = 'free agent' ) > ( select years in nba where team = 'free agent' )	0
[ header: name \| dates \| grt \| propulsion \| port \| notes row 1 : arataki i \| 1948-84 \| 74 \| 320 bhp diesel, 10 knot \| None \| us navy harbour tug row 2 : arataki ii \| 1984-99 \| 143 \| 1100 bhp diesel, 12 knot \| timaru \| harbour tug row 3 : hipi \| 1942-56 \| 39 \| 100 bhp diesel, 8 knots \| auckland \| towing lighters row 4 : kahanui \| 1942-45 \| 207 \| 800 ihp sr t \| wanganui \| harbour tug row 5 : manawanui i \| 1948-52 \| 74 \| 329 bhp diesel, 10 knot \| auckland \| us navy harbour tug row 6 : meola \| 1961- \| 19 \| 76 bhp diesel, 9 knot \| auckland \| work boat row 7 : toia \| 1926-49 \| 423 \| 1250 ihp sr \| wellington \| world war i saint class naval tug, ] Execute this SQL based on the above table: select count ( name ) where port = 'towing lighters'	0
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| vietnam (vie) \| 3 \| 0 \| 3 \| 6 row 2 : 2 \| south korea (kor) \| 2 \| 1 \| 2 \| 5 row 3 : 3 \| kyrgyzstan (kgz \| 1 \| 1 \| 2 \| 4 row 4 : 4 \| kazakhstan (kaz) \| 1 \| 1 \| 1 \| 3 row 5 : 5 \| iraq (irq) \| 1 \| 0 \| 1 \| 2 row 6 : 5 \| turkmenistan (tkm) \| 1 \| 0 \| 1 \| 2 row 7 : 7 \| jordan (jor) \| 0 \| 2 \| 3 \| 5 row 8 : 8 \| uzbekistan (uzb \| 0 \| 2 \| 1 \| 3 row 9 : 9 \| tajikistan (tjk) \| 0 \| 1 \| 1 \| 2 row 10 : 10 \| kuwait (kuw) \| 0 \| 1 \| 0 \| 1 row 11 : 11 \| independent athletes (aoi) \| 0 \| 0 \| 1 \| 1 row 12 : 11 \| mongolia (mgl) \| 0 \| 0 \| 1 \| 1 row 13 : 11 \| palestine (ple) \| 0 \| 0 \| 1 \| 1 row 14 : total \| total \| 9 \| 9 \| 18 \| 36 ] Execute this SQL based on the above table: select nation order by total desc limit 1	total
[ header: year \| winner \| second \| third \| starters row 1 : 2013 \| new year's day \| havana \| strong mandate \| 13 row 2 : 2012 \| shanghai bobby \| he's had enough \| capo bastone \| 9 row 3 : 2011 \| hansen \| union rags \| creative cause \| 13 row 4 : 2010 \| uncle mo \| boys at toscanova \| rogue romance \| 11 row 5 : 2009 \| vale of york \| lookin at lucky \| noble's promise \| 13 row 6 : 2008 \| midshipman \| square eddie \| street hero \| 12 row 7 : 2007 \| war pass \| pyro \| kodiak kowboy \| 11 row 8 : 2006 \| street sense \| circular quay \| great hunter \| 14 row 9 : 2005 \| stevie wonderboy \| henny hughes \| first samurai \| 14 row 10 : 2004 \| wilko \| afleet alex \| sun king \| 8 row 11 : 2003 \| action this day \| minister eric \| chapel royal \| 12 row 12 : 2002 \| vindication \| kafwain \| hold that tiger \| 13 row 13 : 2001 \| johannesburg \| repent \| siphonic \| 12 row 14 : 2000 \| macho uno \| point given \| street cry \| 14 row 15 : 1999 \| anees \| chief seattle \| high yield \| 14 row 16 : 1998 \| answer lively \| aly's alley \| cat thief \| 13 row 17 : 1997 \| favorite trick \| dawson's legacy \| nationalore \| 8 row 18 : 1996 \| boston harbor \| acceptable \| ordway \| 10 row 19 : 1995 \| unbridled's song \| hennessy \| editor's note \| 13 row 20 : 1994 \| timber country \| eltish \| tejano run \| 13 row 21 : 1993 \| brocco \| blumin affair \| tabasco cat \| 11 row 22 : 1992 \| gilded time \| it'sali'lknownfact \| river special \| 13 row 23 : 1991 \| arazi \| bertrando \| snappy landing \| 14 row 24 : 1990 \| fly so free \| take me out \| lost mountain \| 11 row 25 : 1989 \| rhythm \| grand canyon \| slavic \| 12 row 26 : 1988 \| is it true \| easy goer \| tagel \| 10 row 27 : 1987 \| success express \| regal classic \| tejano \| 13 row 28 : 1986 \| capote \| qualify \| alysheba \| 13 row 29 : 1985 \| tasso \| storm cat \| scat dancer \| 13 row 30 : 1984 \| chief's crown \| tank's prospect \| spend a buck \| 10 ] Execute this SQL based on the above table: select third where winner = 'street sense'	great hunter
[ header: rank \| player \| county \| tally \| total \| opposition row 1 : 1 \| eamonn flynn \| dublin \| 3-5 \| 14 \| wexford row 2 : 1 \| charlie mccarthy \| cork \| 2-8 \| 14 \| galway row 3 : 3 \| paddy fahy \| galway \| 2-7 \| 13 \| kildare row 4 : 5 \| charlie mccarthy \| cork \| 3-3 \| 12 \| offaly row 5 : 5 \| michael moroney \| clare \| 2-6 \| 12 \| dublin row 6 : 5 \| declan lovett \| kerry \| 1-9 \| 12 \| galway row 7 : 9 \| ger cuddy \| laois \| 3-2 \| 11 \| wicklow row 8 : 9 \| pat enright \| waterford \| 2-5 \| 11 \| kerry row 9 : 9 \| pat enright \| waterford \| 1-8 \| 11 \| laois row 10 : 9 \| johnny walsh \| kildare \| 0-11 \| 11 \| waterford row 11 : 9 \| eddie keher \| kilkenny \| 0-11 \| 11 \| wexford row 12 : 14 \| brendan cummins \| cork \| 3-1 \| 10 \| wexford row 13 : 14 \| p. j. molloy \| galway \| 3-1 \| 10 \| kerry row 14 : 14 \| nick behan \| kildare \| 3-1 \| 10 \| kerry row 15 : 14 \| seanie o'leary \| cork \| 3-1 \| 10 \| limerick row 16 : 14 \| michael keating \| tipperary \| 2-4 \| 10 \| wexford row 17 : 14 \| declan lovett \| kerry \| 2-4 \| 10 \| waterford row 18 : 14 \| michael keating \| tipperary \| 2-4 \| 10 \| dublin row 19 : 14 \| eddie keher \| kilkenny \| 2-4 \| 10 \| dublin row 20 : 14 \| mick dwan \| kildare \| 2-4 \| 10 \| antrim row 21 : 14 \| charlie mccarthy \| cork \| 1-7 \| 10 \| kilkenny row 22 : 14 \| paddy fahy \| galway \| 0-10 \| 10 \| kerry row 23 : 14 \| johnny walsh \| kildare \| 0-10 \| 10 \| westmeath row 24 : 27 \| p flynn \| wexford \| 3-0 \| 9 \| offaly row 25 : 27 \| n casey \| clare \| 3-0 \| 9 \| cork row 26 : 27 \| willie moore \| limerick \| 3-0 \| 9 \| cork row 27 : 27 \| ger cuddy \| laois \| 3-0 \| 9 \| westmeath row 28 : 27 \| tom ryan \| galway \| 3-0 \| 9 \| laois row 29 : 27 \| seanie o'leary \| cork \| 3-0 \| 9 \| offaly row 30 : 27 \| p flynn \| wexford \| 2-3 \| 9 \| cork row 31 : 27 \| eddie keher \| kilkenny \| 2-3 \| 9 \| limerick row 32 : 27 \| johnny walsh \| kildare \| 1-6 \| 9 \| galway row 33 : 27 \| francis loughnane \| tipperary \| 1-6 \| 9 \| cork row 34 : 27 \| richie bennis \| limerick \| 1-6 \| 9 \| cork row 35 : 27 \| pat enright \| waterford \| 0-9 \| 9 \| kildare row 36 : 27 \| johnny walsh \| kildare \| 0-9 \| 9 \| kerry ] Execute this SQL based on the above table: select rank where player = 'eddie keher'	9, 14, 27
[ header: sr. no. \| name \| from \| till \| occupation row 1 : 1 \| padamvir singh \| 2009 \| current \| ias row 2 : 2 \| rudhra gangadhara \| 06/04/2006 \| 02/09/2009 \| ias row 3 : 3 \| d.s. mathur \| 29/10/2004 \| 06/04/2006 \| ias row 4 : 4 \| binod kumar \| 20/01/2003 \| 15/10/2004 \| ias row 5 : 5 \| wajahat habibullah \| 08/11/2000 \| 13/01/2003 \| ias row 6 : 6 \| b.s. baswan \| 06/10/1996 \| 08/11/2000 \| ias row 7 : 7 \| n.c. saxena \| 25/05/1993 \| 06/10/1996 \| ias row 8 : 8 \| b.n. yugandhar \| 26/05/1988 \| 25/01/1993 \| ias row 9 : 9 \| r.n. chopra \| 06/06/1985 \| 29/04/1988 \| ias row 10 : 10 \| k. ramanujam \| 27/02/1984 \| 24/02/1985 \| ias row 11 : 11 \| r.k. shastri \| 09/11/1982 \| 27/02/1984 \| ias row 12 : 12 \| i.c. puri \| 16/06/1982 \| 11/10/1982 \| ias row 13 : 13 \| p.s. appu \| 02/08/1980 \| 01/03/1982 \| ias row 14 : 14 \| g.c.l. jone \| 23/07/1977 \| 30/06/1980 \| ias row 15 : 15 \| b.c. mathur \| 17/05/1977 \| 23/07/1977 \| ias row 16 : 16 \| rajeshwar prasa \| 11/05/1973 \| 11/04/1977 \| ias row 17 : 17 \| d.d. sathe \| 19/03/1969 \| 11/05/1973 \| ics row 18 : 18 \| k.k. das \| 12/07/1968 \| 24/02/1969 \| ics row 19 : 19 \| m.g. pimputkar \| 04/09/1965 \| 29/04/1968 \| ics row 20 : 20 \| s.k. dutta \| 13/08/1963 \| 02/07/1965 \| ics row 21 : 21 \| a.n. jha \| 01/09/1959 \| 30/09/1962 \| ics ] Execute this SQL based on the above table: select ( select sr. no. where name = 'wajahat habibullah' ) - ( select sr. no. where name = 'rajeshwar prasad' )	-11.0
[ header: selected latin american countries \| internl. tourism arrivals 2010 (x 1000) \| internl. tourism receipts. 2010 (usd (x1000) \| average receipt per visitor 2009 (usd/turista) \| tourist arrivals per 1000 inhab (estimated) 2007 \| receipts per capita 2005 usd \| revenues as % exports of goods and services 2003 \| tourism income % gdp 2003 \| % direct and indirect employment in tourism 2005 \| world ranking tourism competitiv. ttci 2011 \| 2011 ttci index row 1 : argentina \| 5288 \| 4930 \| 932 \| 115 \| 57 \| 7.4 \| 1.8 \| 9.1 \| 60 \| 4.2 row 2 : brazil \| 5161 \| 5919 \| 1147 \| 26 \| 18 \| 3.2 \| 0.5 \| 7 \| 52 \| 4.36 row 3 : chile \| 2766 \| 1636 \| 591 \| 151 \| 73 \| 5.3 \| 1.9 \| 6.8 \| 57 \| 4.27 row 4 : costa rica \| 2100 \| 2111 \| 1005 \| 442 \| 343 \| 17.5 \| 8.1 \| 13.3 \| 44 \| 4.43 row 5 : cuba \| 2507 \| None \| None \| 188 \| 169 \| None \| None \| None \| None \| None row 6 : dominican republic \| 4125 \| 4240 \| 1028 \| 408 \| 353 \| 36.2 \| 18.8 \| 19.8 \| 72 \| 3.99 row 7 : mexico \| 22395 \| 11872 \| 530 \| 201 \| 103 \| 5.7 \| 1.6 \| 14.2 \| 43 \| 4.43 row 8 : panama \| 1317 \| 1676 \| 1273 \| 330 \| 211 \| 10.6 \| 6.3 \| 12.9 \| 56 \| 4.3 row 9 : peru \| 2299 \| 2274 \| 989 \| 65 \| 41 \| 9 \| 1.6 \| 7.6 \| 69 \| 4.04 row 10 : uruguay \| 2352 \| 1496 \| 636 \| 525 \| 145 \| 14.2 \| 3.6 \| 10.7 \| 58 \| 4.24 ] Execute this SQL based on the above table: select count ( * )	10
[ header: airline \| airline (in russian) \| licence # \| icao \| iata \| domestic code \| callsign \| photo row 1 : aeroservice \| ооо «авиаком \| 408 \| None \| None \| юг \| None \| None row 2 : altay airlines \| алтаиское крае \| 333 \| None \| None \| бш \| None \| None row 3 : bural \| оао «авиаком \| 218 \| bun \| u4 \| бю \| bural \| None row 4 : flight inspections and systems \| зао «летные \| 467 \| lts \| None \| лт \| specair \| None row 5 : globus \| ооо «глобус \| 515 \| glp \| gh \| гл \| globus \| None row 6 : grozny avia \| оао «авиаком \| 519 \| goz \| zg \| гг \| groznyy avia \| None row 7 : i-fly \| ооо «аи фла \| 533 \| rsy \| h5 \| фл \| russian sky \| None row 8 : iraero \| зао «авиаком \| 480 \| iae \| io \| рд \| iraero \| None row 9 : kogalymavia \| ооо «авиаком \| 165 \| kgl \| 7k \| 7к \| kogalym \| None row 10 : mbks \| оао «мбк-с \| None \| plg \| None \| None \| pilgrim \| None row 11 : orenburg tsentralny airport \| федеральное \| 539 \| org \| o7 \| уэ \| orenavia \| None row 12 : panh aircompany \| ооо «авиаци \| 542 \| None \| None \| шс \| None \| None row 13 : polar airlines \| оао «авиаком \| 538 \| rka \| None \| яп \| air sakha \| None row 14 : rossiya \| оао «авиаком \| 2 \| sdm \| fv \| пл \| russia \| None row 15 : sokol \| зао «авиаком \| 284 \| piv \| None \| юп \| aerosokol \| None row 16 : utair express \| ооо «ютэир \| 504 \| utx \| ur \| юр \| kominter \| None ] Execute this SQL based on the above table: select count ( photo ) where icao = 3	0
[ header: name \| \| local names \| sort \| canton(s), neighboring countries \| area in km2 \| elevation m \| max. depth in meter row 1 : lake geneva \| None \| lac leman, lac de geneve \| geneva \| geneva, vaud, vala \| 580.03 \| 372 \| 310 row 2 : lake lucerne \| None \| vierwaldstattersee \| lucerne \| lucerne, nidwalden \| 113.72 \| 433.6 \| 214 row 3 : lake lugano \| None \| ceresio, lago di lug \| lugano \| ticino, italy \| 48.67 \| 270.5 \| 288 row 4 : lake thun \| None \| thunersee \| thun \| berne \| 47.74 \| 557.8 \| 215 row 5 : lake biel \| None \| lac de bienne, bielersee \| biel/bienne \| berne, neuchatel \| 39.51 \| 429.1 \| 74 row 6 : lake zug \| None \| zugersee \| zug \| lucerne, schwyz, \| 38.41 \| 413.6 \| 198 row 7 : lake murten \| None \| murtensee, lac de morat \| murten \| fribourg, vaud \| 22.8 \| 429.2 \| 46 row 8 : lake sempach \| None \| sempachersee \| sempach \| lucerne \| 14.36 \| 503.8 \| 87 row 9 : lago di livigno \| ↑ \| lago di livigno \| livignio \| italy, grisons \| 4.71 \| 1805 \| 119 row 10 : wagitalersee \| ↑ \| wagitalersee \| waegital \| schwyz \| 4.18 \| 900 \| 65 row 11 : lago di lei \| ↑ \| lago di lei \| lei \| italy, grisons \| 4.12 \| 1931 \| 133 row 12 : lake sils \| None \| silsersee, lej da se \| sils \| grisons \| 4.1 \| 1797 \| 71 row 13 : lac des dix \| ↑ \| lac des dix \| dix \| valais \| 3.65 \| 2365 \| 227 row 14 : lake wohlen \| ↑ \| wohlensee \| wohlen \| berne \| 3.65 \| 480 \| 20 row 15 : grimselsee \| ↑ \| grimselsee \| grimsel \| berne \| 2.63 \| 1908 \| 100 row 16 : lake lungern \| None \| lungerersee, lungernsee \| lungern \| obwalden \| 2.01 \| 688 \| 68 row 17 : lac de mauvoisin \| ↑ \| lac de mauvoisin \| mauvoisin \| valais \| 2.08 \| 1961 \| 180 row 18 : lago di vogorno \| ↑ \| lago di vogorno \| vogorno \| ticino \| 1.68 \| 470 \| 204 row 19 : zervreilasee \| ↑ \| zervreilasee \| zervreila \| grisons \| 1.61 \| 1862 \| 140 row 20 : oberaarsee \| ↑ \| oberaarsee \| oberaar \| berne \| 1.47 \| 2303 \| 90 row 21 : lac de moiry \| ↑ \| lac de moiry \| moiry \| valais \| 1.4 \| 2249 \| 120 row 22 : albigna lake \| ↑ \| lago da l'albigna \| albigna \| grisons \| 1.13 \| 2163 \| 108 ] Execute this SQL based on the above table: select name order by name desc limit 1	zervreilasee
[ header: party \| candidate(s) \| votes \| percentage row 1 : uup \| peter weir alan m \| 9270 \| 25.6 row 2 : uk unionist \| robert mccartney \| 7579 \| 20.9 row 3 : dup \| st clair mcalister rub \| 6699 \| 18.5 row 4 : alliance \| oliver napier brian wil \| 6186 \| 17.1 row 5 : sdlp \| owen adams john bur \| 1798 \| 5 row 6 : pup \| victor ash samuel \| 1694 \| 4.7 row 7 : ulster democratic \| james mccullough \| 651 \| 1.8 row 8 : ni women's coalition \| emma mcguigan an \| 496 \| 1.4 row 9 : conservative \| ann thompson bruce \| 444 \| 1.2 row 10 : independent chambers \| alan chambers james arbut \| 334 \| 0.9 row 11 : green (ni) \| paddy mcevoy mary ring \| 283 \| 0.8 row 12 : sinn fein \| mairtin o mulleoir \| 275 \| 0.8 row 13 : labour coalition \| john magennis sean m \| 171 \| 0.5 row 14 : independent dup \| thomas o'brien will \| 97 \| 0.3 row 15 : democratic left \| daryl armitage tim davis \| 95 \| 0.3 row 16 : workers' party \| dessie o'hagan colum \| 60 \| 0.2 row 17 : ulster independence \| geoffrey watson glenn \| 49 \| 0.1 row 18 : independent voice \| christopher carter fidelm \| 49 \| 0.1 row 19 : natural law \| peter mcgowan tho \| 15 \| 0 ] Execute this SQL based on the above table: select count ( * ) where candidate(s) = 'paddy mcevoy mary ringland'	0
[ header: operators \| named trains \| destination \| year begun \| year discontinued row 1 : baltimore and ohio \| capitol limited \| chicago, illinois via \| 1923 \| 1958 row 2 : baltimore and ohio \| metropolitan special \| st. louis, missouri \| ca. 1920 \| 1958 row 3 : baltimore and ohio \| national limited \| st. louis, missouri \| 1925 \| 1958 row 4 : baltimore and ohio \| royal blue \| washington, d.c \| 1890 \| 1958 row 5 : central railroad of new jersey \| blue comet \| atlantic city, new jersey \| 1929 \| 1941 row 6 : reading railroad with the central railroad of new jersey \| crusader \| philadelphia, pennsy \| 1937 \| 1967 row 7 : reading railroad with the central railroad of new jersey \| harrisburg special \| harrisburg, pennsyl \| None \| None row 8 : reading railroad with the central railroad of new jersey \| queen of the valley \| harrisburg, pennsyl \| None \| 1967 row 9 : reading railroad with the central railroad of new jersey \| wall street \| philadelphia, pennsy \| None \| None row 10 : reading railroad with the central railroad of new jersey \| williamsporter \| williamsport, pennsyl \| None \| None ] Execute this SQL based on the above table: select named trains where year discontinued = 1967	crusader, queen of the valley
[ header: name \| hanzi \| population (2005) \| area (km2) row 1 : qingxi \| 清溪镇 \| 20000 \| 2.9 row 2 : ruyi \| 如意镇 \| 15100 \| 33.85 row 3 : yintian \| 银田镇 \| 19500 \| 28 row 4 : daping \| 大坪乡 \| 14300 \| 32 row 5 : yongyi \| 永义乡 \| 10600 \| 24 row 6 : shaoshan \| 韶山乡 \| 14700 \| 37.62 row 7 : yanglin \| 杨林乡 \| 20600 \| 58.8 ] Execute this SQL based on the above table: select count ( hanzi ) where hanzi = '清溪镇'	1
[ header: year \| host \| gold \| silver \| bronze row 1 : 1976 \| paraguay (asuncion) \| brazil \| paraguay \| argentina row 2 : 1981 \| peru (lima) \| brazil \| colombia \| argentina row 3 : 1986 \| colombia (cucuta) \| brazil \| colombia \| peru row 4 : 1987 \| argentina (mar del plata) \| argentina \| brazil \| chile row 5 : 1990 \| ecuador (ibarra) \| brazil \| argentina \| ecuador row 6 : 1992 \| chile (santiago) \| brazil \| argentina \| colombia row 7 : 1995 \| brazil (sao ro \| colombia \| brazil \| argentina row 8 : 1996 \| ecuador (quito) \| argentina \| brazil \| colombia row 9 : 1998 \| chile (ancud) \| brazil \| argentina \| bolivia row 10 : 2000 \| venezuela (san feli \| brazil \| argentina \| venezuela row 11 : 2002 \| chile (santiago) \| ecuador \| chile \| paraguay row 12 : 2004 \| bolivia (quillacollo) \| brazil \| argentina \| bolivia row 13 : 2005 \| paraguay (asuncion) \| argentina \| brazil \| paraguay row 14 : 2007 \| venezuela (guanare) \| venezuela \| argentina \| brazil row 15 : 2009 \| chile (santiago) \| brazil \| chile \| argentina row 16 : 2011 \| colombia (pasto) \| colombia \| argentina \| brazil row 17 : 2013 \| ecuador (portoviejo) \| brazil \| argentina \| chile ] Execute this SQL based on the above table: select silver where id = ( select id where silver = 'chile' ) + 1	argentina
[ header: \| name on the register \| date listed \| location \| city or town \| summary row 1 : 40 \| highland park general hospital \| october 31, 1985 (#850 \| 357 glendale ave. \| highland park \| the highland park general hospital is a ] Execute this SQL based on the above table: select where = 40 order by desc limit 1	40
[ header: place \| player \| country \| score \| to par \| money ($) row 1 : t1 \| bobby jones (a) \| united states \| 69-75-71-79=2 \| 6 \| playoff row 2 : t1 \| al espinosa \| united states \| 70-72-77-75=294 \| 6 \| playoff row 3 : t3 \| gene sarazen \| united states \| 71-71-76-78=2 \| 8 \| 700 row 4 : t3 \| denny shute \| united states \| 73-71-76-76=2 \| 8 \| 700 row 5 : t5 \| tommy armour \| scotland united states \| 74-71-76-76=2 \| 9 \| 550 row 6 : t5 \| george von elm (a \| united states \| 79-70-74-74=2 \| 9 \| 0 row 7 : 7 \| henry ciuci \| united states \| 78-74-72-75=2 \| 11 \| 450 row 8 : t8 \| leo diegel \| united states \| 74-74-76-77=301 \| 13 \| 300 row 9 : t8 \| peter o'hara \| united states \| 74-76-73-78=301 \| 13 \| 300 row 10 : 10 \| horton smith \| united states \| 76-77-74-75=30 \| 14 \| 150 ] Execute this SQL based on the above table: select score where id = ( select id where score = '79-70-74-74=297' ) - 1	74-71-76-76=297
[ header: season \| network \| play-by-play \| color commentator(s) \| sideline reporter(s) row 1 : 1969 \| cbs \| jack whitaker \| frank gifford and don per \| None row 2 : 1968 \| cbs \| ray scott \| paul christman \| frank glieber row 3 : 1967 \| cbs \| frank glieber \| frank gifford \| None row 4 : 1966 \| cbs \| chuck thompson \| tom brookshier \| None row 5 : 1965 \| cbs \| frank glieber (first half \| pat summerall \| None row 6 : 1964 \| cbs \| jack drees (first half \| frank gifford \| None row 7 : 1963 \| cbs \| ray scott (first half) and \| frank gifford \| None row 8 : 1962 \| cbs \| chris schenkel (first half \| warren lahr \| None row 9 : 1961 \| cbs \| chris schenkel (first half \| johnny lujack \| None ] Execute this SQL based on the above table: select color commentator(s) where id = ( select id where color commentator(s) = 'frank gifford' ) - 1	paul christman
[ header: \| 'be' \| 'remain' \| 'give' \| 'save' row 1 : 1st sg \| esmi \| liekmi \| duomi \| gelbmi row 2 : 2nd sg \| esi \| lieksi \| duosi \| gelbsi row 3 : 3rd sg \| est(i) \| liekt(i) \| duost(i) \| gelbt(i) row 4 : 1st dual \| esva \| liekva \| duova \| gelbva row 5 : 2nd dual \| esta \| liekta \| duosta \| gelbta row 6 : 1st pl \| esme \| liekme \| duome \| gelbme row 7 : 2nd pl \| este \| liekte \| duoste \| gelbte row 8 : 3rd pl \| esti \| liekt(i) \| duost(i) \| gelbt(i) ] Execute this SQL based on the above table: select 'save' where 'be' = 'esva'	gelbva
[ header: model name \| length \| width \| height \| riders \| capacity \| description \| portable \| notes row 1 : skater \| 21.5 m (71 ft) \| 11.65 m (38.2 f \| 10.69 m (35.1 ft) \| 24 \| 600 \| small halfpipe with inwards-facing seats \| yes \| row 2 : disk'o \| 24.55 m (80.5 ft \| 9.68 m (31.8 ft) \| 10 m (33 ft) \| 24 \| 600 \| small halfpipe with outwards-facing seats \| yes \| row 3 : surf's up \| 29 m (95 ft) \| 11 m (36 ft) \| 7.5 m (25 ft) \| 20 \| 480 \| small halfpipe with hill in middle. guests stand \| yes \| row 4 : mega disk'o \| 37.5 m (123 ft) \| 10 m (33 ft) \| 15.5 m (51 ft) \| 24 \| 600 \| large halfpipe with outwards-facing seats \| no \| row 5 : mega disk'o \| 37.5 m (123 ft) \| 10 m (33 ft) \| 15.5 m (51 ft) \| 40 \| 1000 \| large halfpipe with outwards-facing seats \| no \| row 6 : skater coaster \| None \| None \| None \| None \| None \| large halfpipe with hill in middle. inward \| None \| row 7 : disk'o coaster \| 81.5 m (267 ft) \| 11.3 m (37 ft) \| 15.5 m (51 ft) \| 24 \| 500 \| large halfpipe with hill in middle. outward \| no \| row 8 : disk'o coaster \| 81.5 m (267 ft) \| 11.3 m (37 ft) \| 15.5 m (51 ft) \| 40 \| 600 \| large halfpipe with hill in middle. outward \| no \| ] Execute this SQL based on the above table: select count ( model name )	8
[ header: pos \| rider \| manufacturer \| time/retired \| points row 1 : 1 \| tohru ukawa \| honda \| 49:50.449 \| 25 row 2 : 2 \| franco battaini \| aprilia \| 5.125 \| 20 row 3 : 3 \| loris capirossi \| honda \| 10.224 \| 16 row 4 : 4 \| shinya nakano \| yamaha \| 14.848 \| 13 row 5 : 5 \| stefano perugini \| honda \| 34.042 \| 11 row 6 : 6 \| sebastian porto \| yamaha \| 37.495 \| 10 row 7 : 7 \| jason vincent \| honda \| 44.911 \| 9 row 8 : 8 \| valentino rossi \| aprilia \| +1:01.110 \| 8 row 9 : 9 \| anthony west \| tsr-honda \| +1:10.352 \| 7 row 10 : 10 \| alex hofmann \| tsr-honda \| +1:18.683 \| 6 row 11 : 11 \| luca boscoscuro \| tsr-honda \| +1:20.847 \| 5 row 12 : 12 \| lucas oliver bulto \| yamaha \| +1:23.052 \| 4 row 13 : 13 \| roberto rolfo \| aprilia \| +1:24.329 \| 3 row 14 : 14 \| masaki tokudome \| tsr-honda \| +1:26.837 \| 2 row 15 : 15 \| fonsi nieto \| yamaha \| +1:45.669 \| 1 row 16 : 16 \| david garcia \| yamaha \| +1:48.926 \| None row 17 : 17 \| scott smart \| aprilia \| +1:49.730 \| None row 18 : 18 \| alex debon \| honda \| +1 lap \| None row 19 : 19 \| jarno janssen \| tsr-honda \| +1 lap \| None row 20 : ret \| alvaro molina \| honda \| retirement \| None row 21 : ret \| julien allemand \| tsr-honda \| retirement \| None row 22 : ret \| ismael bonilla \| honda \| retirement \| None row 23 : ret \| daniel ribalta \| aprilia \| retirement \| None row 24 : ret \| maurice bolwerk \| honda \| retirement \| None row 25 : ret \| tomomi manako \| yamaha \| retirement \| None row 26 : ret \| johann stigefelt \| yamaha \| retirement \| None row 27 : ret \| olivier jacque \| yamaha \| retirement \| None row 28 : ret \| jeremy mcwilliams \| aprilia \| retirement \| None row 29 : ret \| david ortega \| tsr-honda \| retirement \| None row 30 : ret \| alfredo rios \| aprilia \| retirement \| None row 31 : ret \| ralf waldmann \| aprilia \| retirement \| None ] Execute this SQL based on the above table: select min ( points ) where points < 6	1.0
[ header: from \| to \| name \| party \| position row 1 : 1850 \| 1862 \| m. borgarelli d' \| None \| colonel of infantry e.r row 2 : 1862 \| 1869 \| jules alfred le tourneur du \| None \| first secretary for the minister of finance row 3 : 1869 \| 1903 \| stanislas le tourneur d \| None \| attached to the taxation administration of france row 4 : None \| None \| yves le tourneur d' \| None \| doctor of juridical science row 5 : 1966 \| 1989 \| maurice lecoq \| None \| market gardener row 6 : 1989 \| 2008 \| michel deuzet \| se \| farmer row 7 : 2008 \| 2014 \| patrice martin \| se \| bank officer ] Execute this SQL based on the above table: select ( select to where id = 1 ) >= 'None'	0
[ header: season \| average \| high \| low \| season tickets row 1 : 2001-02 serie a \| 17956 \| 27498 \| 14704 \| 12156 row 2 : 2002-03 serie a \| 16306 \| 25603 \| 12980 \| 11544 row 3 : 2003-04 serie a \| 15904 \| 23663 \| 11463 \| 10439 row 4 : 2004-05 serie a \| 14044 \| 23010 \| 10711 \| 9923 row 5 : 2005-06 serie a \| 14372 \| 23116 \| 11575 \| 10639 row 6 : 2006-07 serie a \| 14644 \| 20488 \| 11946 \| 11120 row 7 : 2007-08 serie a \| 15427 \| 25149 \| 11890 \| 11386 row 8 : 2008-09 serie b \| 10031 \| 12265 \| 9261 \| None row 9 : 2009-10 serie a \| 17061 \| 21323 \| 11870 \| 13691 row 10 : 2010-11 serie a \| 14524 \| 19615 \| 11975 \| 10578 row 11 : 2011-12 serie a \| 13646 \| 19481 \| 10800 \| 9620 row 12 : 2012-13 serie a \| 12740 \| 19073 \| 9627 \| 10546 ] Execute this SQL based on the above table: select count ( * ) where season = '2007-08 serie a'	1
[ header: year \| title \| image \| dimensions \| collection \| comments row 1 : 1942 \| assassination of heydrich \| view \| 61.4 × 76.1 cm. (24.2 \| the national archives, kew, richmond \| subject: ss-general reinhard row 2 : 1944 \| production of tanks (original may have been untitled \| view \| 51.3 × 61.5 cm. (20.2 \| the national archives, kew, richmond \| scene: workers manufacture churchill tanks on a row 3 : 1968 \| express engines at tyseley, \| view view \| 75 × 100 cm. (29.5 × \| None \| scene: rolling stock-london, mid row 4 : 1972 \| field marshall viscount montgomery of \| view \| 125 × 100 cm. (49. \| defence academy of the united kingdom, shriven \| subject: field marshal bernard law row 5 : 1971 \| sir edward heath \| view \| 123 × 99 cm. (48. \| balliol college, university of o \| subject: sir edward heath row 6 : 1972 \| self portrait \| None \| None \| None \| None row 7 : None \| her majesty the queen with her dogs \| see cuneo society website \| None \| None \| subject: queen elizabeth row 8 : None \| bentley vs the blue train \| view see cuneo society website \| None \| None \| scene: 1930 cannes to calais ] Execute this SQL based on the above table: select comments where year = 1971 order by id desc limit 1	subject: sir edward heath (1916-2005), kg, organ scholar (1935-1939), honorary fellow (1969), prime minister (1970-1974)
[ header: tie no \| home team \| score \| away team \| attendance row 1 : 1 \| ifk vasteras (d2) \| 3-2 \| ik sleipner (d \| 875 row 2 : 2 \| kramfors if (n) \| 2-4 (aet) \| bk kenty (d3) \| 2808 row 3 : 3 \| reymersholms ik \| 5-2 \| atvidabergs ff (d \| 1504 row 4 : 4 \| wifsta/ostrands if \| 4-3 \| ludvika ffi \| 974 row 5 : 5 \| raa if (d3) \| 3-2 \| sandvikens if (d \| 2116 row 6 : 6 \| sandvikens aik \| 2-3 (aet) \| tidaholms g \| 822 row 7 : 7 \| karlstads bik (d \| 2-5 \| if friska viljor (n) \| 1550 row 8 : 8 \| sandviks ik (n \| 2-3 \| surahammars if (d2) \| None ] Execute this SQL based on the above table: select home team where home team in ( 'kramfors if (n)' , 'raa if (d3)' ) order by tie no desc limit 1	raa if (d3)
[ header: no. \| name \| public access \| location & map links \| area ha \| area acres \| references row 1 : 1 \| aversley wood \| \| 52°25′25′′n 0° \| 61 \| 151 \| sssi wt row 2 : 2 \| balsham wood \| \| 52°07′19′′n 0° \| 35 \| 85 \| sssi row 3 : 3 \| bedford purlieus nnr \| \| 52°35′00′′n 0° \| 208 \| 514 \| sssi nnr row 4 : 4 \| brampton wood \| \| 52°19′02′′n 0° \| 132 \| 326 \| sssi bcnp row 5 : 7 \| gamlingay wood \| \| 52°09′57′′n 0° \| 46 \| 114 \| sssi bcnp row 6 : 8 \| hardwick wood \| \| 52°11′57′′n 0° \| 17 \| 42 \| sssi bcnp row 7 : 9 \| hayley wood \| \| 52°09′33′′n 0° \| 52 \| 129 \| sssi bcnp row 8 : 11 \| langley wood \| \| 52°03′24′′n 0° \| 31 \| 77 \| sssi row 9 : 13 \| madingley wood \| \| 52°13′00′′n 0° \| 15 \| 38 \| sssi row 10 : 14 \| monks wood nnr \| \| 52°24′18′′n 0° \| 170 \| 420 \| sssi nnr row 11 : 15 \| out and plunder woods \| \| 52°10′03′′n 0° \| 28 \| 69 \| sssi row 12 : 16 \| over and lawn woods \| \| 52°06′35′′n 0° \| 45 \| 111 \| sssi row 13 : 18 \| ten wood \| \| 52°10′31′′n 0° \| 17 \| 42 \| sssi row 14 : 20 \| warboy's and wistow wood \| \| 52°25′11′′n 0° \| 42 \| 103 \| sssi row 15 : 21 \| waresley wood \| \| 52°10′37′′n 0° \| 62 \| 153 \| sssi ] Execute this SQL based on the above table: select count ( name )	15
[ header: year \| division \| league \| regular season \| playoffs \| open cup row 1 : 2006 \| 4 \| usl pdl \| 5th, northwest \| did not qualify \| did not qualify row 2 : 2007 \| 4 \| usl pdl \| 2nd, northwest \| conference semifinals \| did not qualify row 3 : 2008 \| 4 \| usl pdl \| 1st, northwest \| conference finals \| did not qualify row 4 : 2009 \| 4 \| usl pdl \| 7th, northwest \| did not qualify \| did not qualify row 5 : 2010 \| 4 \| usl pdl \| 3rd, northwest \| did not qualify \| did not qualify row 6 : 2011 \| 4 \| usl pdl \| 8th, northwest \| did not qualify \| did not qualify row 7 : 2012 \| 4 \| usl pdl \| 1st, northwest \| semifinals \| did not qualify row 8 : 2013 \| 4 \| usl pdl \| 4th, northwest \| did not qualify \| 2nd round ] Execute this SQL based on the above table: select count ( playoffs )	8
[ header: # \| date \| venue \| opponent \| score \| result \| competition row 1 : 1 \| 10 january 1996 \| edison international field, ana \| honduras \| 1-0 \| 3-1 \| 1996 concacaf gold cup row 2 : 2 \| 30 august 1996 \| commonwealth stadium, edmont \| panama \| 3-1 \| 3-1 \| 1998 fifa world cup qualification row 3 : 3 \| 12 october 1997 \| commonwealth stadium, edmont \| mexico \| 2-1 \| 2-2 \| 1998 fifa world cup qualification row 4 : 4 \| 8 october 1999 \| los angeles memorial coliseum \| el salvador \| 1-0 \| 2-1 \| 2000 concacaf gold cup qualification play off row 5 : 5 \| 10 october 1999 \| los angeles memorial coliseum \| haiti \| 1-0 \| 2-1 \| 2000 concacaf gold cup qualification play off row 6 : 6 \| 10 october 1999 \| los angeles memorial coliseum \| haiti \| 2-0 \| 2-2 \| 2000 concacaf gold cup qualification play off row 7 : 7 \| 13 february 2000 \| qualcomm stadium, san die \| costa rica \| 1-1 \| 2-2 \| 2000 concacaf gold cup row 8 : 8 \| 13 february 2000 \| qualcomm stadium, san die \| costa rica \| 2-2 \| 2-2 \| 2000 concacaf gold cup row 9 : 9 \| 20 february 2000 \| qualcomm stadium, san die \| mexico \| 1-1 \| 2-1 \| 2000 concacaf gold cup row 10 : 10 \| 27 february 2000 \| los angeles memorial coliseum \| colombia \| 2-0 \| 2-0 \| 2000 concacaf gold cup row 11 : 11 \| 18 january 2004 \| bridgetown, barbados \| barbados \| 1-0 \| 1-0 \| friendly match ] Execute this SQL based on the above table: select avg ( # )	6.0
[ header: \| \| \| \| \| \| \| \| \| \| row 1 : 2010s \| 2010 \| 2011 \| 2012 \| 2013 \| 2014 \| 2015 \| 2016 \| 2017 \| 2018 \| None row 2 : 2000s \| 2000 \| 2001 \| 2002 \| 2003 \| 2004 \| 2005 \| 2006 \| 2007 \| 2008 \| 2009 row 3 : 1990s \| 1990 \| 1991 \| 1992 \| 1993 \| 1994 \| 1995 \| 1996 \| 1997 \| 1998 \| 1999 row 4 : 1980s \| 1980 \| 1981 \| 1982 \| 1983 \| 1984 \| 1985 \| 1986 \| 1987 \| 1988 \| 1989 row 5 : 1970s \| 1970 \| 1971 \| 1972 \| 1973 \| 1974 \| 1975 \| 1976 \| 1977 \| 1978 \| 1979 row 6 : 1960s \| 1960 \| 1961 \| 1962 \| 1963 \| 1964 \| 1965 \| 1966 \| 1967 \| 1968 \| 1969 row 7 : 1950s \| 1950 \| 1951 \| 1952 \| 1953 \| 1954 \| 1955 \| 1956 \| 1957 \| 1958 \| 1959 row 8 : 1940s \| 1940 \| 1941 \| 1942 \| 1943 \| 1944 \| 1945 \| 1946 \| 1947 \| 1948 \| 1949 row 9 : 1930s \| 1930 \| 1931 \| 1932 \| 1933 \| 1934 \| 1935 \| 1936 \| 1937 \| 1938 \| 1939 row 10 : 1920s \| 1920 \| 1921 \| 1922 \| 1923 \| 1924 \| 1925 \| 1926 \| 1927 \| 1928 \| 1929 row 11 : 1910s \| 1910 \| 1911 \| 1912 \| 1913 \| 1914 \| 1915 \| 1916 \| 1917 \| 1918 \| 1919 row 12 : 1900s \| 1900 \| 1901 \| 1902 \| 1903 \| 1904 \| 1905 \| 1906 \| 1907 \| 1908 \| 1909 row 13 : 1890s \| 1890 \| 1891 \| 1892 \| 1893 \| 1894 \| 1895 \| 1896 \| 1897 \| 1898 \| 1899 row 14 : 1880s \| 1880 \| 1881 \| 1882 \| 1883 \| 1884 \| 1885 \| 1886 \| 1887 \| 1888 \| 1889 row 15 : 1870s \| 1870 \| 1871 \| 1872 \| 1873 \| 1874 \| 1875 \| 1876 \| 1877 \| 1878 \| 1879 ] Execute this SQL based on the above table: select order by desc limit 1	2010s
[ header: rank \| bib \| athlete \| country \| time \| deficit \| note row 1 : 8 \| 37 \| laure barthelemy \| france \| 3:08.53 \| 4.64 \| q row 2 : 10 \| 27 \| magda genuin \| italy \| 3:09.91 \| 6.02 \| q row 3 : 11 \| 16 \| arianna follis \| italy \| 3:10.41 \| 6.52 \| q row 4 : 12 \| 24 \| celine brun-lie \| norway \| 3:10.45 \| 6.56 \| q row 5 : 21 \| 40 \| riikka sarasoja \| finland \| 3:13.49 \| 9.6 \| q row 6 : 24 \| 9 \| perianne jones \| canada \| 3:13.95 \| 10.06 \| q row 7 : 26 \| 21 \| anastasia dotsenko \| russia \| 3:15.03 \| 11.14 \| q row 8 : 27 \| 33 \| daria gaiazova \| canada \| 3:15.10 \| 11.21 \| q row 9 : 29 \| 7 \| jessica diggins \| united states \| 3:15.24 \| 11.35 \| q row 10 : 32 \| 38 \| natalya korostelyova \| russia \| 3:15.83 \| 11.94 \| None row 11 : 37 \| 26 \| madoka natsumi \| japan \| 3:17.89 \| 14 \| None row 12 : 38 \| 28 \| pirjo muranen \| finland \| 3:18.21 \| 14.32 \| None row 13 : 39 \| 54 \| elena soboleva \| russia \| 3:19.55 \| 15.66 \| None row 14 : 40 \| 11 \| elena kolomina \| kazakhstan \| 3:20.17 \| 16.28 \| None row 15 : 53 \| 59 \| rosamund musgrave \| united kingdom \| 3:26.34 \| 22.45 \| None row 16 : 54 \| 1 \| anastasia slonova \| kazakhstan \| 3:26.51 \| 22.62 \| None row 17 : 56 \| 4 \| piret pormeister \| estonia \| 3:27.34 \| 23.45 \| None row 18 : 57 \| 64 \| maryna antsybor \| ukraine \| 3:28.17 \| 24.28 \| None row 19 : 62 \| 63 \| monika gyorgy \| romania \| 3:32.20 \| 28.31 \| None row 20 : 63 \| 71 \| niviaq chemnitz \| denmark \| 3:32.56 \| 28.67 \| None row 21 : 67 \| 67 \| zoya zaviediei \| ukraine \| 3:38.21 \| 31.32 \| None row 22 : 74 \| 86 \| irina khodiakov \| kyrgyzstan \| 3:52.24 \| 48.35 \| None row 23 : 78 \| 77 \| agnes simon \| hungary \| 4:04.44 \| +1:00.55 \| None row 24 : 82 \| 73 \| syuzanna varosyan \| armenia \| 4:25.77 \| +1:21.88 \| None row 25 : 84 \| 76 \| valya varosyan \| armenia \| 4:30.74 \| +1:26.85 \| None row 26 : 85 \| 80 \| zane eglite \| latvia \| 4:37.37 \| +1:33.48 \| None row 27 : None \| 61 \| brooke gosling \| canada \| dns \| None \| None ] Execute this SQL based on the above table: select count ( * ) where note = 'None'	0
[ header: rank \| athlete \| country \| time \| notes row 1 : None \| kaija mustonen \| finland \| 2:22.4 \| or row 2 : None \| carry geijssen \| netherlands \| 2:22.7 \| None row 3 : None \| stien kaiser \| netherlands \| 2:24.5 \| None row 4 : 4 \| sigrid sundby-dy \| norway \| 2:25.2 \| None row 5 : 5 \| lasma kauniste \| soviet union \| 2:25.4 \| None row 6 : 6 \| kaija-liisa \| finland \| 2:25.8 \| None row 7 : 7 \| lyudmila titova \| soviet union \| 2:26.8 \| None row 8 : 8 \| ruth schleiermacher \| east germany \| 2:27.1 \| None row 9 : 9 \| christina lindblom-scher \| sweden \| 2:27.5 \| None row 10 : 9 \| hildegard sellhuber \| west germany \| 2:27.5 \| None row 11 : 11 \| lidiya skoblikova \| soviet union \| 2:27.6 \| None row 12 : 12 \| ans schut \| netherlands \| 2:28.3 \| None row 13 : 13 \| dianne holum \| united states \| 2:28.5 \| None row 14 : 14 \| martine ivangine \| france \| 2:29.9 \| None row 15 : 14 \| kari karing \| norway \| 2:29.9 \| None row 16 : 16 \| jeanne ashworth \| united states \| 2:30.3 \| None row 17 : 17 \| lisbeth korsmo \| norway \| 2:30.7 \| None row 18 : 18 \| christina karlsson \| sweden \| 2:31.4 \| None row 19 : 18 \| sachiko saito \| japan \| 2:31.4 \| None row 20 : 20 \| ylva hedlund \| sweden \| 2:31.5 \| None row 21 : 21 \| doreen mccannell \| canada \| 2:32.2 \| None row 22 : 22 \| arja kantola \| finland \| 2:33.2 \| None row 23 : 23 \| kaname ide \| japan \| 2:34.2 \| None row 24 : 24 \| marcia parsons \| canada \| 2:34.4 \| None row 25 : 25 \| jeanne omelenchuk \| united states \| 2:35.5 \| None row 26 : 26 \| jitsuko saito \| japan \| 2:36.6 \| None row 27 : 27 \| kim gwi-jin \| south korea \| 2:36.7 \| None row 28 : 28 \| marie-louise perrenou \| france \| 2:39.2 \| None row 29 : 29 \| patricia demartini \| france \| 2:40.6 \| None row 30 : 30 \| paula dufter \| west germany \| 2:45.2 \| None ] Execute this SQL based on the above table: select athlete where country = 'united states'	dianne holum, jeanne ashworth, jeanne omelenchuk
[ header: sheriff \| start of term row 1 : josiah hobart \| 1683 row 2 : john mulford \| 1701 row 3 : hugh gray \| 1702 row 4 : john brush \| 1710 row 5 : daniel youngs \| 1718 row 6 : samuel dayton \| 1723 row 7 : william sell \| 1728 row 8 : joseph smith \| 1730 row 9 : david corrie \| 1731 row 10 : jacob conklin \| 1734 row 11 : thomas higbe \| 1740 row 12 : james muirson \| 1774 row 13 : thomas wickes \| 1785 row 14 : silas halsey \| 1787 row 15 : thomas wickes \| 1791 row 16 : phinaes carll \| 1799 row 17 : josiah reeve \| 1803 row 18 : phinaes smith \| 1807 row 19 : josiah reeve \| 1808 row 20 : benjamin brewster \| 1810 row 21 : josiah reeve \| 1811 row 22 : benjamin brewster \| 1812 row 23 : nathaniel conklin \| 1814 row 24 : josiah reeve \| 1815 row 25 : samuel smith \| 1826 row 26 : abraham gardiner \| 1829 row 27 : richard smith \| 1832 row 28 : silas horton \| 1835 row 29 : samuel miller \| 1838 row 30 : david brush \| 1841 row 31 : henry penny \| 1844 row 32 : david rose \| 1847 row 33 : john clark \| 1850 row 34 : samuel phillips \| 1855 row 35 : george carman \| 1856 row 36 : daniel osborn \| 1862 row 37 : george smith \| 1868 row 38 : j. henry perkins \| 1871 row 39 : egbert lewis \| 1874 row 40 : george cooper \| 1877 row 41 : robert petty \| 1888 row 42 : selah brewster \| 1883 row 43 : henry halsey \| 1886 row 44 : robert petty \| 1888 row 45 : a. m. darling \| 1891 row 46 : benjamin wood \| 1897 row 47 : j. sheridan wells \| 1900 row 48 : henry preston \| 1903 row 49 : john wells \| 1906 row 50 : charles platt \| 1909 row 51 : melville brush \| 1912 row 52 : d. henry brown \| 1913 row 53 : charles o'dell \| 1914 row 54 : john kelly \| 1920 row 55 : amza biggs \| 1923 row 56 : burton howe \| 1926 row 57 : ellis taylor \| 1929 row 58 : joseph warta \| 1932 row 59 : william mccollom \| 1935 row 60 : jacob dreyer \| 1938 row 61 : john levy \| 1941 row 62 : william mccollom \| 1942 row 63 : charles dominy \| 1957 row 64 : frank gross \| 1962 row 65 : philip corso \| 1970 row 66 : donald dilworth \| 1976 row 67 : john finnerty \| 1977 row 68 : eugene dooley \| 1986 row 69 : patrick mahoney \| 1990 row 70 : alfred c. tisch \| 2002 row 71 : vincent f. demarco \| 2006 ] Execute this SQL based on the above table: select start of term where sheriff = 'd. henry brown'	1913
[ header: team \| location \| stadium \| capacity \| manager \| captain \| kit manufacturer \| shirt sponsor row 1 : auckland city fc \| auckland \| kiwitea street \| 3500 \| ramon tribulietx \| ivan vicelich \| nike \| trillian trust inc row 2 : canterbury united \| christchurch \| asb football park \| 9000 \| keith braithwaite \| dan terris \| samurai \| robbie's bar and bistro row 3 : hawke's bay united \| napier \| bluewater stadium \| 5000 \| chris greatholder \| bill robertson \| samurai \| kinetic electrical row 4 : otago united \| dunedin \| forsyth barr stadium \| 30500 \| richard murray \| tristan prattley \| canterbury \| gran's remedy row 5 : team wellington \| wellington \| david farrington park \| 3000 \| matt calcott \| karl whalen \| adidas \| exodus health & fitness club row 6 : waikato fc \| hamilton \| porritt stadium \| 2700 \| mark cossey \| adam thomas \| nike \| the soccer shop row 7 : waitakere united \| waitakere city \| fred taylor park \| 2500 \| paul marshall \| jake butler \| lotto sport italia \| cuesports foundation row 8 : youngheart manawatu \| palmerston north \| memorial park \| 8000 \| stu jacobs \| nathan cooksley \| nike \| new zealand pharmaceuticals ] Execute this SQL based on the above table: select count ( stadium ) where manager = 'chris greatholder'	1
[ header: year \| position row 1 : 1957 \| did not enter row 2 : 1959 \| did not enter row 3 : 1962 \| did not enter row 4 : 1963 \| did not enter row 5 : 1965 \| did not enter row 6 : 1968 \| did not qualify row 7 : 1970 \| did not qualify row 8 : 1972 \| round 1 row 9 : 1974 \| withdrew row 10 : 1976 \| did not qualify row 11 : 1978 \| did not qualify row 12 : 1980 \| did not qualify row 13 : 1982 \| did not qualify row 14 : 1984 \| round 1 row 15 : 1986 \| did not qualify row 16 : 1988 \| did not qualify row 17 : 1990 \| withdrew row 18 : 1992 \| did not qualify row 19 : 1994 \| withdrew during qualifying row 20 : 1996 \| did not qualify row 21 : 1998 \| round 1 row 22 : 2000 \| round 1 row 23 : 2002 \| round 1 row 24 : 2004 \| did not qualify row 25 : 2006 \| round 1 row 26 : 2008 \| did not qualify row 27 : 2010 \| withdrew due to rebel attack row 28 : 2012 \| did not qualify row 29 : 2013 \| quarter-final ] Execute this SQL based on the above table: select position order by id desc limit 1	quarter-final
[ header: series \| year \| rank \| average audience share row 1 : 1 \| 1992 \| None \| 14.50m row 2 : 2 \| 1993 \| None \| None row 3 : 3 \| 1993 \| None \| None row 4 : 4 \| 1994 \| None \| None row 5 : 5 \| 1995 \| None \| None row 6 : 6 \| 1996 \| None \| 14.60m row 7 : 7 \| 1997-1998 \| None \| 15.82m row 8 : 8 \| 1998-1999 \| 5th \| 14.35m row 9 : 9 \| 1999-2000 \| 6th \| 13.71m row 10 : 10 \| 2000-2001 \| 5th \| 13.21m row 11 : 11 \| 2001-2002 \| 6th \| 10.77m row 12 : 12 \| 2002-2003 \| 7th \| 11.29m row 13 : 13 \| 2003-2004 \| 8th \| 13.11m row 14 : 14 \| 2004-2005 \| 10th \| 8.77m row 15 : 15 \| 2005-2006 \| 10th \| 8.42m row 16 : 16 \| 2006-2007 \| 8th \| 7.80m row 17 : 17 \| 2007-2008 \| 11th \| 6.90m row 18 : 18 \| 2008-2010 \| 15th \| 5.44m (incl. itv ] Execute this SQL based on the above table: select rank where id = ( select id where rank = '10th' ) - 1	8th
[ header: edition \| year \| men's winner \| time (m:s) \| women's winner \| time (m:s) row 1 : 1st \| 1990 \| marti ten kate (n \| 47:52 \| alison gooderham (gbr \| 56:09 row 2 : 2nd \| 1991 \| thomas naali (t \| 47:11 \| olga bondarenko (urs \| 53:16 row 3 : 3rd \| 1992 \| boay akonay (t \| 47:04 \| iulia negura (rom) \| 53:19 row 4 : 4th \| 1993 \| gary staines (gbr) \| 46:11 \| iulia negura (rom) \| 53:01 row 5 : 5th \| 1994 \| gary staines (gbr) \| 47:00 \| gitte karlshø \| 54:49 row 6 : 6th \| 1995 \| benson masya (ken) \| 45:56 \| liz mccolgan (gb \| 53:12 row 7 : 7th \| 1996 \| gary staines (gbr) \| 46:57 \| derartu tulu (eth) \| 52:39 row 8 : 8th \| 1997 \| christopher kelong (ken) \| 46:53 \| liz mccolgan (gb \| 52:00 row 9 : 9th \| 1998 \| stephane franke (ger) \| 47:40 \| marian sutton (gbr) \| 54:17 row 10 : 10th \| 1999 \| simon kasimili (ken) \| 47:42 \| esther kiplagat (ken) \| 54:42 row 11 : 11th \| 2000 \| gert thys (rs \| 48:26 \| restituta joseph (tan \| 55:10 row 12 : 12th \| 2001 \| khalid skah (mar) \| 46:17 \| restituta joseph (tan \| 52:36 row 13 : 13th \| 2002 \| simon kasimili (ken) \| 47:27 \| sonia o'sullivan \| 51:00 row 14 : 14th \| 2003 \| john yuda (tan \| 46:35 \| sonia o'sullivan \| 53:26 row 15 : 15th \| 2004 \| hendrick ramaala (r \| 47:14 \| benita johnson (aus) \| 52:32 row 16 : 16th \| 2005 \| john yuda (tan \| 46:45 \| derartu tulu (eth) \| 51:27 row 17 : 17th \| 2006 \| simon arusei (ken) \| 47:17 \| jo pavey (gbr) \| 52:46 row 18 : 18th \| 2007 \| luke kibet (ken \| 47:31 \| rose cheruiyot (ken \| 53:44 row 19 : 19th \| 2008 \| bernard kipyego ( \| 46:42 \| paula radcliffe (gb \| 51:11 row 20 : 20th \| 2009 \| mo farah (gbr) \| 46:25 \| ines monteiro (por) \| 52:32 row 21 : 21st \| 2010 \| joseph ebuya (ken \| 45:15 \| grace momanyi (ken) \| 52:03 row 22 : 22nd \| 2011 \| leonard komon (ken) \| 46:18 \| aselefech mergia (eth \| 52:55 row 23 : 23rd \| 2012 \| stephen mokoka (rsa \| 46:40 \| jo pavey (grb) \| 53:01 row 24 : 24th \| 2013 \| emmanuel bett ( \| 48:03 \| florence kiplagat (ken) \| 53:53 ] Execute this SQL based on the above table: select edition where men's winner = 'john yuda (tan)'	14th, 16th
[ header: s.no. \| name of kingdom \| name of king \| no. of villages \| capital \| names of districts row 1 : 1 \| sihag \| chokha singh \| 150 \| suin \| rawatsar, baramsar, row 2 : 2 \| beniwal \| raisal singh \| 150 \| rasalana \| bhukarka, sand row 3 : 3 \| johiya \| sher singh \| 600 \| bhurupal \| jaitpur, kumanu, ma row 4 : 4 \| punia \| kanha singh \| 300 \| luddi \| bhadra, ajitpura row 5 : 5 \| saharan \| pula singh \| 300 \| bhadang \| khejra, phoglo row 6 : 6 \| godara \| pandu singh \| 700 \| shekhsar \| shekhsar, pundrasar row 7 : 7 \| kaswan \| kanwarpal singh \| 400 \| sidhmukh \| None ] Execute this SQL based on the above table: select name of king where capital = ( select max ( capital ) )	chokha singh
[ header: party \| candidate \| votes \| % row 1 : labour \| martin o'neill \| 16004 \| 45.3 row 2 : snp \| keith brown \| 10655 \| 30.2 row 3 : conservative \| alasdair campbell \| 4235 \| 12 row 4 : liberal democrat \| paul edie \| 3253 \| 9.2 row 5 : scottish socialist \| pauline thomson \| 751 \| 2.1 row 6 : monster raving loony \| flash gordon approaching \| 405 \| 1.1 row 7 : majority \| majority \| 5349 \| 15.2 row 8 : turnout \| turnout \| 35303 \| 61.3 row 9 : labour hold \| labour hold \| swing \| 2.3 ] Execute this SQL based on the above table: select party order by votes desc limit 1	turnout
[ header: # \| matters \| sections of the constitution allowing their institution \| eligible petitioners \| type row 1 : 2 \| a petition for a decision as to whether \| section 68 \| any person \| constitutional defence row 2 : 3 \| a petition for a decision as to whether \| section 91 \| at least one tenth of the existing representatives \| membership row 3 : 4 \| a petition for a decision as to whether \| section 106 (7) \| the representative in question \| political party row 4 : 5 \| a petition for a decision concerning the constitutional \| section 141 \| the national assembly \| constitutionality of draft law row 5 : 6 \| a petition for a decision as to whether \| sections 140 and 149 \| the president of the house of representatives or s \| constitutionality of draft law row 6 : 9 \| a petition for a decision as to whether \| section 168, paragraph 7 \| at least one tenth of the existing representatives \| others row 7 : 11 \| a petition for a decision as to whether \| section 185 \| at least one fifth of the existing representatives or senator \| constitutionality of law row 8 : 12 \| a petition for a decision as to whether \| section 190 \| at least one tenth of the existing representatives \| authority row 9 : 13 \| a petition for a decision as to whether \| section 211 \| a party to such case \| constitutionality of law row 10 : 14 \| a petition for a decision as to the \| section 212 \| any person whose constitutionally recognised right or freedom \| constitutionality of law row 11 : 15 \| a petition for a decision as to \| section 214 \| the president of the national assembly the prime minister the \| authority row 12 : 16 \| a petition for a decision as to whether \| section 233 \| at least one tenth of the existing representatives \| membership row 13 : 18 \| a petition for a decision as to the \| section 245 (1) \| ombudsmen \| constitutionality of law row 14 : 19 \| a petition for a decision as to the \| section 257, paragraph 1 (2) \| the national human rights commission \| constitutionality of law ] Execute this SQL based on the above table: select type order by # - # desc limit 1	constitutional defence
[ header: party \| candidate \| votes \| % \| ∆% row 1 : conservative \| joe daniel \| 14422 \| 36.78 \| 5.78 row 2 : liberal \| yasmin ratansi \| 13552 \| 34.56 \| -13.51 row 3 : new democratic \| mary trapani hynes \| 9878 \| 25.19 \| 11.87 row 4 : green \| akil sadikali \| 1114 \| 2.84 \| -4.05 row 5 : christian heritage \| ryan kidd \| 246 \| 0.63 \| -0.07 row 6 : total valid votes \| total valid votes \| 39212 \| 100 \| None row 7 : total rejected ballots \| total rejected ballots \| 218 \| 0.55 \| None row 8 : turnout \| turnout \| 39430 \| 57.24 \| None row 9 : eligible voters \| eligible voters \| 68890 \| None \| None ] Execute this SQL based on the above table: select %	36.78, 34.56, 25.19, 2.84, 0.63, 100, 0.55, 57.24
[ header: # \| title \| songwriters \| producer(s) \| performer (s) row 1 : 1 \| "creative control" \| o. credle, l. bas \| organized konfusion \| o.c row 2 : 2 \| "word...life" \| o. credle, a. best \| buckwild \| o.c row 3 : 3 \| "o-zone" \| o. credle, a. best \| buckwild \| o.c row 4 : 4 \| "born 2 live" \| o. credle, a. best \| buckwild \| o.c row 5 : 5 \| "time's up" \| o. credle, a. best \| buckwild \| o.c row 6 : 6 \| "point o' viewz" \| o. credle, d. van \| buckwild, prestige \| o.c row 7 : 7 \| "constables" \| o. credle, l. bas \| organized konfusion \| o.c row 8 : 8 \| "ga head" \| o. credle, r. hall \| lord finesse \| o.c row 9 : 9 \| "no main topic" \| o. credle, g. \| dj ogee/o. \| o.c., prince po row 10 : 10 \| "let it slide" \| o. credle, a. best \| buckwild \| o.c., pharo row 11 : 11 \| "ma dukes" \| o. credle, a. best \| buckwild \| o.c row 12 : 12 \| "story" \| o. credle, g. \| dj ogee/o. \| o.c row 13 : 13 \| "outtro (sabotage) \| o. credle, a. best \| buckwild \| o.c row 14 : 14 \| "born 2 live (remix)" \| o. credle, a. best \| organized konfusion \| o.c ] Execute this SQL based on the above table: select sum ( # ) where performer (s) in ( 'o.c' , 'o.c' )	86.0
[ header: rank \| name \| caps \| goals \| years row 1 : 1 \| bedford jezzard \| 3 \| 6 \| 1954-1955 row 2 : 2 \| tommy taylor \| 2 \| 4 \| 1956 row 3 : 2 \| gordon hill \| 6 \| 4 \| 1978 row 4 : 2 \| alan smith \| 4 \| 4 \| 1990-1992 row 5 : 5 \| jack rowley \| 1 \| 3 \| 1949 row 6 : 5 \| brian talbot \| 6 \| 3 \| 1978-1980 row 7 : 5 \| paul merson \| 4 \| 3 \| 1991-1998 row 8 : 5 \| matthew le tissier \| 6 \| 3 \| 1990-1998 ] Execute this SQL based on the above table: select years order by rank desc limit 1	1949
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| russia \| 8 \| 12 \| 10 \| 30 row 2 : 2 \| china \| 7 \| 4 \| 2 \| 13 row 3 : 3 \| ukraine \| 7 \| 1 \| 1 \| 9 row 4 : 4 \| poland \| 3 \| 4 \| 2 \| 9 row 5 : 5 \| belarus \| 2 \| 2 \| 2 \| 6 row 6 : 6 \| germany \| 2 \| 1 \| 2 \| 5 row 7 : 6 \| south africa \| 2 \| 1 \| 2 \| 5 row 8 : 7 \| australia \| 2 \| 1 \| 1 \| 4 row 9 : 8 \| japan \| 2 \| 0 \| 1 \| 3 row 10 : 9 \| france \| 1 \| 3 \| 0 \| 4 row 11 : 10 \| romania \| 1 \| 2 \| 2 \| 5 row 12 : 11 \| hungary \| 1 \| 2 \| 1 \| 4 row 13 : 12 \| great britain \| 1 \| 1 \| 2 \| 4 row 14 : 12 \| spain \| 1 \| 1 \| 2 \| 4 row 15 : 14 \| morocco \| 1 \| 1 \| 1 \| 3 row 16 : 15 \| brazil \| 1 \| 0 \| 3 \| 3 row 17 : 16 \| czech republic \| 1 \| 0 \| 2 \| 3 row 18 : 17 \| moldova \| 1 \| 0 \| 0 \| 1 row 19 : 18 \| finland \| 0 \| 2 \| 1 \| 3 row 20 : 19 \| estonia \| 0 \| 1 \| 1 \| 2 row 21 : 19 \| north korea \| 0 \| 1 \| 1 \| 2 row 22 : 19 \| south korea \| 0 \| 1 \| 1 \| 2 row 23 : 22 \| denmark \| 0 \| 1 \| 0 \| 1 row 24 : 22 \| ireland \| 0 \| 1 \| 0 \| 1 row 25 : 22 \| jamaica \| 0 \| 1 \| 0 \| 1 row 26 : 22 \| kazakhstan \| 0 \| 1 \| 0 \| 1 row 27 : 22 \| uganda \| 0 \| 1 \| 0 \| 1 row 28 : 27 \| croatia \| 0 \| 0 \| 2 \| 2 row 29 : 28 \| canada \| 0 \| 0 \| 1 \| 1 row 30 : 28 \| cyprus \| 0 \| 0 \| 1 \| 1 row 31 : 28 \| italy \| 0 \| 0 \| 1 \| 1 row 32 : 28 \| switzerland \| 0 \| 0 \| 1 \| 1 ] Execute this SQL based on the above table: select sum ( bronze ) where nation in ( 'canada' , 'kazakhstan' )	1.0
[ header: pos \| grid \| no. \| driver \| team \| manufacturer \| laps \| points row 1 : 1 \| 8 \| 24 \| jeff gordon \| hendrick motorsports \| chevrolet \| 160 \| 185 row 2 : 2 \| 1 \| 18 \| bobby labonte \| joe gibbs racing \| pontiac \| 160 \| 175 row 3 : 3 \| 9 \| 31 \| mike skinner \| richard childress racing \| chevrolet \| 160 \| 165 row 4 : 4 \| 25 \| 12 \| jeremy mayfield \| penske-kranefuss \| ford \| 160 \| 165 row 5 : 7 \| 12 \| 22 \| ward burton \| bill davis racing \| pontiac \| 160 \| 146 row 6 : 8 \| 39 \| 36 \| ernie irvan \| mb2 motorsports \| pontiac \| 160 \| 142 row 7 : 9 \| 16 \| 33 \| ken schrader \| andy petree racing \| chevrolet \| 160 \| 138 row 8 : 10 \| 5 \| 3 \| dale earnhardt \| richard childress racing \| chevrolet \| 160 \| 139 row 9 : 12 \| 38 \| 23 \| jimmy spencer \| travis carter enterprises \| t-bird \| 160 \| 132 row 10 : 14 \| 14 \| 43 \| john andretti \| petty enterprises \| pontiac \| 160 \| 121 row 11 : 15 \| 31 \| 94 \| bill elliott \| bill elliott racing \| ford \| 160 \| 118 row 12 : 18 \| 17 \| 40 \| sterling marlin \| team sabco \| chevrolet \| 160 \| 109 row 13 : 19 \| 33 \| 9 \| jerry nadeau \| melling racing \| ford \| 160 \| 106 row 14 : 20 \| 20 \| 97 \| chad little \| roush racing \| t-bird \| 159 \| 103 row 15 : 21 \| 30 \| 71 \| dave marcis \| marcis auto racing \| chevrolet \| 159 \| 105 row 16 : 22 \| 42 \| 44 \| kyle petty \| pe2 \| pontiac \| 159 \| 97 row 17 : 23 \| 3 \| 88 \| dale jarrett \| robert yates racing \| ford \| 159 \| 99 row 18 : 25 \| 19 \| 11 \| brett bodine \| brett bodine racing \| ford \| 159 \| 88 row 19 : 26 \| 40 \| 26 \| johnny benson, j \| roush racing \| ford \| 159 \| 85 row 20 : 28 \| 43 \| 35 \| darrell waltrip \| tyler jet motorsports \| pontiac \| 158 \| 79 row 21 : 29 \| 24 \| 96 \| steve grissom \| american equipment racing \| chevrolet \| 157 \| 76 row 22 : 32 \| 11 \| 28 \| kenny irwin, j \| robert yates racing \| ford \| 140 \| 72 row 23 : 33 \| 15 \| 1 \| steve park \| dale earnhardt, inc \| chevrolet \| 139 \| 64 row 24 : 35 \| 28 \| 81 \| kenny wallace \| filmar racing \| ford \| 113 \| 58 row 25 : 36 \| 26 \| 07 \| dan pardus \| midwest transit racing \| chevrolet \| 99 \| 55 row 26 : 37 \| 32 \| 46 \| jeff green \| team sabco \| chevrolet \| 98 \| 52 row 27 : 38 \| 13 \| 30 \| derrike cope \| bahari racing \| pontiac \| 67 \| 49 row 28 : 39 \| 36 \| 98 \| rich bickle \| cale yarborough racing \| t-bird \| 58 \| 46 row 29 : 42 \| 10 \| 55 \| hut stricklin \| andy petree racing \| chevrolet \| 31 \| 37 ] Execute this SQL based on the above table: select driver where id = ( select id where driver = 'darrell waltrip' ) + 1	steve grissom
[ header: place \| position \| number \| name \| league one \| fa cup \| league cup \| football league trophy \| total row 1 : 1 \| mf \| 4 \| luke summerfield \| 5 \| 0 \| 0 \| 0 \| 5 row 2 : 2 \| mf \| 17 \| paul parry \| 3 \| 0 \| 1 \| 0 \| 4 row 3 : 3 \| fw \| 24 \| tom eaves \| 3 \| 0 \| 0 \| 0 \| 3 row 4 : 4 \| mf \| 11 \| jon taylor \| 1 \| 0 \| 0 \| 1 \| 2 row 5 : 4 \| df \| 5 \| darren jones \| 2 \| 0 \| 0 \| 0 \| 2 row 6 : 4 \| mf \| 23 \| adam reach \| 2 \| 0 \| 0 \| 0 \| 2 row 7 : 4 \| mf \| 22 \| ryan woods \| 2 \| 0 \| 0 \| 0 \| 2 row 8 : 4 \| fw \| 26 \| curtis main \| 2 \| 0 \| 0 \| 0 \| 2 row 9 : 5 \| mf \| 2 \| jermaine grandison \| 1 \| 0 \| 0 \| 0 \| 1 row 10 : 5 \| mf \| 8 \| dave mcallister \| 1 \| 0 \| 0 \| 0 \| 1 row 11 : 5 \| fw \| 15 \| aaron wildig \| 1 \| 0 \| 0 \| 0 \| 1 row 12 : 5 \| fw \| 29 \| asa hall \| 1 \| 0 \| 0 \| 0 \| 1 row 13 : 5 \| fw \| 7 \| gozie ugwu \| 1 \| 0 \| 0 \| 0 \| 1 row 14 : 5 \| df \| 18 \| connor goldson \| 1 \| 0 \| 0 \| 0 \| 1 row 15 : 5 \| mf \| 10 \| nicky wroe \| 1 \| 0 \| 0 \| 0 \| 1 row 16 : 5 \| fw \| 9 \| tom bradshaw \| 1 \| 0 \| 0 \| 0 \| 1 ] Execute this SQL based on the above table: select number where position = 'mf'	4, 17, 11, 23, 22, 2, 8, 10
[ header: year \| name \| birth date \| winner \| awarding age \| row 1 : 1998 \| nick cheung \| 1967-12-02 \| winner \| 30 years, 352 days \| None row 2 : 1998 \| chin kar lok \| 1965-08-06 \| winner \| 33 years, 105 days \| None row 3 : 2002 \| moses chan \| 1971-04-16 \| winner \| 31 years, 217 days \| None row 4 : 2003 \| raymond lam \| 1979-12-08 \| winner \| 23 years, 346 days \| youngest winner row 5 : 2004 \| ron ng \| 1979-09-02 \| winner \| 25 years, 78 days \| None row 6 : 2005 \| bosco wong \| 1980-12-13 \| winner \| 24 years, 341 days \| None row 7 : 2006 \| kenneth ma \| 1974-02-13 \| winner \| 32 years, 270 days \| None row 8 : 2007 \| amigo choi \| 1979-05-08 \| winner \| 28 years, 193 days \| None row 9 : 2008 \| wong cho lam \| 1980-01-09 \| winner \| 28 years, 311 days \| None row 10 : 2009 \| ngo ka-nin \| 1976-09-26 \| winner \| 33 years, 69 days \| None row 11 : 2010 \| raymond wong \| 1976-08-25 \| winner \| 34 years, 102 days \| oldest winner row 12 : 2011 \| jin au-yeung \| 1982-06-04 \| winner \| 29 years, 184 days \| None row 13 : 2012 \| oscar leung \| 1979-03-26 \| winner \| 33 years, 266 days \| None ] Execute this SQL based on the above table: select birth date group by birth date order by count ( year ) desc limit 1	1982-06-04
[ header: name \| pos. \| caps \| goals \| club row 1 : olle ahlund \| mf \| 1 \| 0 \| degerfors if row 2 : sune "mona-lisa \| mf \| 5 \| 0 \| aik solna row 3 : henry "garvis" carls \| fw \| 2 \| 0 \| aik solna row 4 : rune "killing" emanu \| mf \| 2 \| 0 \| ifk goteborg row 5 : thure grahn \| df \| 1 \| 0 \| is halmia halmsta row 6 : gunnar "il professore" gren \| fw \| 5 \| 5 \| ifk goteborg row 7 : sven "jack" jacobs \| mf \| 1 \| 0 \| gais goteborg row 8 : egon "hemliga" jons \| fw \| 1 \| 0 \| malmo ff row 9 : borje leander \| mf \| 1 \| 0 \| aik solna row 10 : nils "lidas"/" \| fw \| 6 \| 5 \| ifk norrkoping row 11 : torsten "lindy" lindberg \| gk \| 5 \| 0 \| ifk norrkoping row 12 : lennart lindskog \| fw \| 1 \| 0 \| degerfors if row 13 : malte "svarta bli \| fw \| 2 \| 0 \| halsingborgs if row 14 : erik nilsson \| df \| 4 \| 0 \| malmo ff row 15 : harry nilsson \| df \| 2 \| 0 \| aik solna row 16 : ove nilsson \| gk \| 1 \| 0 \| djurgardens if stockhol row 17 : stellan nilsson \| fw \| 4 \| 0 \| malmo ff row 18 : bertil nordahl \| mf \| 4 \| 0 \| degerfors if row 19 : gunnar nordahl \| fw \| 6 \| 8 \| ifk norrkoping row 20 : knut nordahl \| df \| 5 \| 0 \| ifk norrkoping row 21 : stig nystrom \| fw \| 1 \| 1 \| djurgardens if stockhol row 22 : kjell rosen \| mf/fw \| 4 \| 0 \| malmo ff row 23 : birger "bian" rosengren \| mf \| 1 \| 0 \| ifk norrkoping row 24 : rolf svensson \| fw \| 1 \| 0 \| halsingborgs if row 25 : borje tapper \| fw \| 1 \| 1 \| malmo ff ] Execute this SQL based on the above table: select name where caps = ( select caps where name = 'gunnar nordahl' ) - 1	sune "mona-lisa" andersson, gunnar "il professore" gren, torsten "lindy" lindberg, knut nordahl
[ header: outcome \| no. \| date \| tournament \| surface \| partner \| opponents in the final \| score in the final row 1 : winner \| 1 \| 9 may 2010 \| estoril open, estoril, port \| clay \| marc lopez \| pablo cuevas marcel grano \| 6-7(1-7), 6-4, [ row 2 : runner-up \| 1 \| 1 may 2011 \| estoril open, estoril, port \| clay \| marc lopez \| eric butorac jean-ju \| 3-6, 4-6 row 3 : runner-up \| 2 \| 21 may 2011 \| open de nice cote d'a \| clay \| santiago gonzalez \| eric butorac jean-ju \| 3-6, 4-6 row 4 : runner-up \| 3 \| 24 september 2011 \| brd nastase tiria \| clay \| julian knowle \| daniele bracciali potito star \| 6-3, 4-6, [8-10] row 5 : runner-up \| 4 \| 23 october 2011 \| kremlin cup, mosco \| hard (i) \| carlos berlocq \| frantisek cermak fi \| 3-6, 1-6 row 6 : winner \| 3 \| 25 february 2012 \| copa claro, buenos aires \| clay \| fernando verdasco \| michal mertinak andre \| 6-4, 6-4 row 7 : winner \| 4 \| 4 march 2012 \| abierto mexicano tel \| clay \| fernando verdasco \| marcel granollers marc lope \| 6-3, 6-4 row 8 : runner-up \| 5 \| 6 may 2012 \| estoril open, estoril, port \| clay \| julian knowle \| aisam-ul-haq qu \| 5-7, 5-7 row 9 : runner-up \| 6 \| 28 october 2012 \| valencia open 500, valen \| hard (i) \| fernando verdasco \| alexander peya bruno soare \| 3-6, 2-6 row 10 : winner \| 9 \| 22 september 2013 \| st. petersburg open, \| hard (i) \| fernando verdasco \| dominic inglot denis istomin \| 7-6(8-6), 6-3 row 11 : runner-up \| 7 \| 13 october 2013 \| shanghai rolex masters, \| hard \| fernando verdasco \| ivan dodig marcelo mel \| 6-7(2-7), 7-6(8 row 12 : runner-up \| 8 \| 23 february 2014 \| rio open, rio \| clay \| marcelo melo \| juan sebastian cabal rob \| 4-6, 2-6 ] Execute this SQL based on the above table: select count ( no. ) where no. < 5	7
[ header: rank \| title \| studio \| director \| actors \| gross row 1 : 1 \| the sound of music \| 20th century fox \| robert wise \| julie andrews, christ \| $163,214,286 row 2 : 2 \| doctor zhivago \| metro-goldwyn-mayer \| david lean \| omar sharif, ju \| $111,721,910 row 3 : 4 \| those magnificent men in their flying machines \| 20th century fox \| ken annakin \| stuart whitman, sara \| $31,111,111 row 4 : 8 \| what's new pussycat? \| united artists \| clive donner \| peter sellers, peter o'tool \| $18,820,000 row 5 : 9 \| shenandoah \| universal pictures \| andrew v. mclagle \| james stewart, doug \| $17,268,889 row 6 : 10 \| von ryan's express \| 20th century fox \| mark robson \| frank sinatra, trevor \| $17,111,111 row 7 : 12 \| for a few dollars more \| united artists \| sergio leone \| clint eastwood, lee van \| $15,000,000 row 8 : 13 \| the sandpiper \| metro-goldwyn-mayer \| vincente minnelli \| elizabeth tay \| $13,691,111 row 9 : 16 \| help! \| united artists \| richard lester \| john lennon, paul \| $12,066,667 row 10 : 19 \| the agony and the ecsta \| 20th century fox \| carol reed \| charlton heston, rex \| $8,000,000 ] Execute this SQL based on the above table: select actors where rank = ( select max ( rank ) )	charlton heston, rex harrison, diane cilento, harry andrews, alberto lupo, adolfo celi, venantino venantini
[ header: no. \| name \| took office \| left office \| president served under \| notable for row 1 : 2 \| carl l. alsberg m. \| december 16, 1912 \| july 15, 1921 \| william howard taft \| None row 2 : 3 \| walter gilbert campbell \| 7/16/1921 \| 6/30/1924 \| warren g. harding, cal \| None row 3 : 4 \| charles albert browne, j \| 7/1/1924 \| 6/30/1927 \| calvin coolidge \| None row 4 : 5 \| paul b. dunbar, \| 5/6/1944 \| 5/31/1951 \| franklin d. ro \| None row 5 : 6 \| charles w. crawford \| 6/1/1951 \| 7/31/1954 \| harry s truman, \| None row 6 : 8 \| james lee goddard, \| 1/17/1966 \| 7/1/1968 \| lyndon b. johnson \| None row 7 : 9 \| herbert leonard ley, j \| 7/1/1968 \| 12/12/1969 \| lyndon b. johnson \| None row 8 : 10 \| charles c. edward \| 12/13/1969 \| 3/15/1973 \| richard m. nixon \| None row 9 : 11 \| alexander mackay schmidt, \| 7/20/1973 \| 11/30/1976 \| richard m. nixon, \| None row 10 : 12 \| donald kennedy, \| 4/4/1977 \| 6/30/1979 \| jimmy carter \| None row 11 : 13 \| jere edwin goyan, \| 10/21/1979 \| 1/20/1981 \| jimmy carter \| None row 12 : 14 \| arthur hull hayes jr. \| 4/13/1981 \| 9/11/1983 \| ronald reagan \| None row 13 : 15 \| frank edward young, \| 7/15/1984 \| 12/17/1989 \| ronald reagan \| None row 14 : 16 \| david aaron kessler \| 11/8/1990 \| 2/28/1997 \| george h. w. bush \| None row 15 : 17 \| jane ellen henney, \| 1/17/1999 \| 1/19/2001 \| bill clinton \| None row 16 : 19 \| lester mills crawford, \| 7/18/2005 \| 9/23/2005 \| george w. bush \| charged with conflict of interest and lying about stock row 17 : 20 \| andrew c. von eschen \| 12/13/2006 \| 1/20/2009 \| george w. bush \| member of the board of directors of biotime ( row 18 : 21 \| margaret a. hamburg \| 5/22/2009 \| present \| barack obama \| None ] Execute this SQL based on the above table: select took office where name = 'jere edwin goyan, ph.d'	10/21/1979
[ header: order in position \| president of the republic \| length of the presidential action \| rank by length of term(s) \| notes row 1 : 1 \| k. j. stahlberg \| 5 years, 220 days \| 8 \| 1 term serving row 2 : 2 \| lauri kristian relander \| 6 years, 0 days one leap year (19 \| 6 \| 1 term serving row 3 : 3 \| p. e. svinh \| 5 years, 364 days two leap years (19 \| 6 \| 1 term serving row 4 : 4 \| kyosti kallio \| 3 years, 293 days \| 9 \| resigned due to poor health row 5 : 5 \| risto ryti \| 3 years, 229 days \| 10 \| resigned due to agreement with nazi german row 6 : 6 \| gustaf mannerheim \| 1 year, 219 days \| 11 \| resigned due to poor health and after not row 7 : 7 \| j. k. paasiki \| 9 years, 356 days \| 4 \| 2 terms serving (remainder of mannerheim row 8 : 8 \| urho kekkonen \| 25 years, 332 days \| 1 \| 3 whole terms serving (the 3rd exceptionally row 9 : 9 \| mauno koivisto \| 12 years, 33 days \| 2 \| 2 terms serving row 10 : 10 \| martti ahtisa \| 6 years, 0 days two leap years (19 \| 5 \| 1 term serving row 11 : 11 \| tarja halonen \| 12 years, 0 days \| 3 \| 2 terms serving row 12 : 12 \| sauli niinisto \| 2 years, 115 days \| None \| incumbent: first term serving ] Execute this SQL based on the above table: select ( select count ( * ) where notes = '1 term serving' ) > ( select count ( * ) where notes != '1 term serving' )	0
[ header: no. in series \| no. in season \| title \| directed by \| written by \| original air date \| production code row 1 : 125 \| 1 \| "burnin' down the house" \| madeline cripe \| joel madison & \| september 18, 1995 \| 60101 row 2 : 126 \| 2 \| "get a job" \| shelley jensen \| mort scrivner \| september 25, 1995 \| 60102 row 3 : 127 \| 3 \| "stress related" \| shelley jensen \| larry wilmore \| october 2, 1995 \| 60103 row 4 : 128 \| 4 \| "bourgie sings the blues" \| shelley jensen \| tom devanney \| october 9, 1995 \| 60104 row 5 : 129 \| 5 \| "the script formerly known as..." \| shelley jensen \| felicia d. henderson \| october 16, 1995 \| 60105 row 6 : 130 \| 6 \| "not i barbecue" \| madeline cripe \| matt tarses & kand \| october 23, 1995 \| 60106 row 7 : 132 \| 8 \| "viva lost wages" \| shelley jensen \| robert bruce \| november 13, 1995 \| 60108 row 8 : 133 \| 9 \| "there's the rub" (part 1) \| shelley jensen \| joel madison \| november 20, 1995 \| 60109 row 9 : 134 \| 10 \| "there's the rub" (part 2) \| shelley jensen \| joel madison \| november 20, 1995 \| 60110 row 10 : 135 \| 11 \| "i, ooh, baby, \| alfonso ribeiro \| adam markowitz & tom \| december 11, 1995 \| 60111 row 11 : 136 \| 12 \| "boxing helena" \| shelley jensen \| michael soccio \| january 8, 1996 \| 60112 row 12 : 137 \| 13 \| "i, clownius" \| shelley jensen \| story: david wyatt \| january 15, 1996 \| 60115 row 13 : 138 \| 14 \| "breaking up is hard to do" (part \| shelley jensen \| lisa rosenthal \| february 12, 1996 \| 60113 row 14 : 139 \| 15 \| "breaking up is hard to do" (part \| shelley jensen \| lisa rosenthal \| february 19, 1996 \| 60114 row 15 : 140 \| 16 \| "i, bowl buster" \| shelley jensen \| michael soccio \| february 26, 1996 \| 60117 row 16 : 141 \| 17 \| "the butler's son did it" \| madeline cripe \| lisa rosenthal \| march 18, 1996 \| 60116 row 17 : 142 \| 18 \| "hare today..." \| shelley jensen \| robert bruce \| april 8, 1996 \| 60119 row 18 : 143 \| 19 \| "i, whoops, there it is" \| shelley jensen \| tanya ward & mary \| april 15, 1996 \| 60124 row 19 : 144 \| 20 \| "i, stank horse" \| shelley jensen \| tom devanney \| april 22, 1996 \| 60120 row 20 : 145 \| 21 \| "i, stank hole in one" \| werner walian \| matt tarses & michae \| may 6, 1996 \| 60121 row 21 : 146 \| 22 \| "eye, tooth" \| shelley jensen \| adam markowitz \| may 13, 1996 \| 60118 ] Execute this SQL based on the above table: select count ( * ) where original air date = 'february 12, 1996'	1
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| puerto rico \| 17 \| 27 \| 13 \| 57 row 2 : 2 \| bahamas \| 17 \| 15 \| 19 \| 51 row 3 : 3 \| mexico \| 9 \| 9 \| 5 \| 23 row 4 : 4 \| jamaica \| 8 \| 6 \| 4 \| 18 row 5 : 5 \| barbados \| 7 \| 3 \| 6 \| 16 row 6 : 6 \| trinidad and tobago \| 7 \| 2 \| 2 \| 11 row 7 : 7 \| venezuela \| 3 \| 3 \| 8 \| 14 row 8 : 8 \| colombia \| 3 \| 1 \| 2 \| 6 row 9 : 9 \| u.s. virgin islands \| 1 \| 1 \| 3 \| 5 row 10 : 10 \| martinique \| 1 \| 1 \| 0 \| 2 row 11 : 11 \| antigua and barbuda \| 1 \| 0 \| 1 \| 2 row 12 : 12 \| suriname \| 1 \| 0 \| 0 \| 1 row 13 : 13 \| bermuda \| 0 \| 4 \| 2 \| 6 row 14 : 14 \| dominican republic \| 0 \| 2 \| 4 \| 6 row 15 : 15 \| panama \| 0 \| 1 \| 2 \| 3 row 16 : 16 \| cayman islands \| 0 \| 0 \| 2 \| 2 row 17 : 16 \| saint kitts and nevis \| 0 \| 0 \| 2 \| 2 ] Execute this SQL based on the above table: select nation where nation = 'mexico' order by nation desc limit 1	mexico
[ header: place \| position \| number \| name \| league two \| fa cup \| league cup \| fl trophy \| total row 1 : 1 \| mf \| 4 \| ryan hall \| 10 \| 1 \| 0 \| 3 \| 14 row 2 : 2 \| df \| 6 \| bilel mohsni \| 13 \| 0 \| 0 \| 0 \| 13 row 3 : 3 \| fw \| 22 \| liam dickinson \| 10 \| 1 \| 0 \| 1 \| 12 row 4 : 4 \| fw \| 9 \| neil harris \| 9 \| 0 \| 0 \| 1 \| 10 row 5 : 5 \| df \| 15 \| mark phillips \| 7 \| 0 \| 1 \| 0 \| 8 row 6 : 6 \| mf \| 12 \| kane ferdinand \| 7 \| 0 \| 0 \| 0 \| 7 row 7 : 7 \| mf \| 8 \| michael timlin \| 4 \| 0 \| 0 \| 0 \| 4 row 8 : 8 \| mf \| 14 \| dave martin \| 3 \| 0 \| 0 \| 0 \| 3 row 9 : 8 \| df \| 3 \| peter gilbert \| 3 \| 0 \| 0 \| 0 \| 3 row 10 : 10 \| fw \| 24 \| elliot benyon \| 2 \| 0 \| 0 \| 0 \| 2 row 11 : 10 \| fw \| 37 \| freddy eastwood \| 2 \| 0 \| 0 \| 0 \| 2 row 12 : 12 \| mf \| 18 \| ryan leonard \| 1 \| 0 \| 0 \| 0 \| 1 row 13 : 12 \| fw \| 21 \| blair sturrock \| 0 \| 0 \| 0 \| 1 \| 1 row 14 : 12 \| mf \| 19 \| jean-paul kalala \| 1 \| 0 \| 0 \| 0 \| 1 row 15 : 12 \| df \| 16 \| luke prosser \| 1 \| 0 \| 0 \| 0 \| 1 row 16 : 12 \| mf \| 7 \| anthony grant \| 1 \| 0 \| 0 \| 0 \| 1 row 17 : 12 \| df \| 23 \| chris barker \| 1 \| 0 \| 0 \| 0 \| 1 row 18 : None \| None \| None \| own goals \| 4 \| 0 \| 0 \| 0 \| 4 row 19 : None \| None \| None \| totals \| 79 \| 2 \| 1 \| 6 \| 88 ] Execute this SQL based on the above table: select league cup order by total limit 1	0.0
[ header: name \| 1968 cf designator \| place of manufacture \| primary role(s) \| service period \| # used row 1 : airco dh.9a \| None \| uk \| bomber \| 1920-1929 \| 12 row 2 : armstrong whitworth atlas \| None \| uk \| army co-operation \| 1927-1942 \| 16 row 3 : avro tutor (avro 621) \| None \| uk \| trainer \| 1931-1945 \| 7 row 4 : avro lancaster \| None \| uk/canada \| heavy bomber \| 1944-1965 \| 229 row 5 : avro lincoln \| None \| uk/canada \| heavy bomber \| 1946-1947 \| 3 row 6 : boeing-vertol chinook \| ch-147 \| us \| transport helicopter \| 1974-1992 \| 9 row 7 : canadair argus \| cp-107 \| canada \| maritime patrol \| 1957-1988 \| 33 row 8 : canadair dynavert \| cx-131 \| canada \| experimental vtol tilt-wing \| 1969-1975 \| 3 row 9 : canadair starfighter \| cf-104 \| canada \| fighter \| 1961-1988 \| 200 row 10 : canadian vickers varuna \| None \| canada \| patrol flying boat \| 1926-1930 \| 8 row 11 : consolidated catalina/canso \| None \| us/canada \| maritime patrol seaplane \| 1941-1962 \| 254 row 12 : curtiss h-16 \| None \| us \| patrol flying boat \| 1922-1924 \| 2 row 13 : curtiss tomahawk \| None \| us \| fighter \| 1943-1946 \| 4 row 14 : curtiss warhawk \| None \| us \| fighter \| 1942-1943 \| 9 row 15 : de havilland fox moth \| None \| canada \| transport \| 1941-1945 \| 1 row 16 : de havilland genet moth \| None \| uk \| role \| 1928-1932 \| 2 row 17 : de havilland canada chipmunk \| ct-120 \| canada \| elementary trainer \| 1948-1972 \| 100 row 18 : de havilland canada otter \| csr-123 \| canada \| transport \| 1953-1984 \| 69 row 19 : douglas mo-2b \| None \| us \| utility/patrol \| 1927-1930 \| 1 row 20 : fairchild cornell \| None \| us \| elementary trainer \| 1942-1948 \| 1555 row 21 : fairchild flying boxcar \| None \| us \| transport \| 1952-1967 \| 35 row 22 : fleet freighter \| None \| canada \| transport \| 1942-1944 \| 2 row 23 : grumman tracker \| cp-121 \| canada \| carrier-borne asw \| 1968-1994 \| 72 row 24 : handley page harrow \| None \| uk \| bomber/transport \| 1940-1941 \| 2 row 25 : handley page halifax \| None \| uk \| heavy bomber \| 1944-1947 \| 5 row 26 : hawker hurricane \| None \| uk/canada \| fighter \| 1939-1948 \| 502 row 27 : hawker sea hurricane \| None \| uk \| fighter \| 1942-1943 \| 1 row 28 : keystone puffer \| None \| us \| crop duster/utility \| 1927-1934 \| 2 row 29 : lockheed lodestar \| None \| us \| transport \| 1943-1948 \| 18 row 30 : mcdonnell douglas c \| cf-188 \| us \| fighter \| 1982-current \| 138 row 31 : noorduyn norseman \| None \| canada \| utility transport \| 1940-1957 \| 100 row 32 : north american harvard \| None \| us/canada \| advanced trainer \| 1939-1968 \| 2156 row 33 : north american na-44 \| None \| us \| fighter/utility \| 1940-1944 \| 1 row 34 : sagem sperwer \| cu-161 \| france \| uav \| 2003-current \| 31 ] Execute this SQL based on the above table: select primary role(s) order by # used desc limit 1	advanced trainer
[ header: # \| title \| producer(s) \| performer(s) \| length row 1 : 1 \| "intro" \| l.e.s \| bravehearts \| 2:03 row 2 : 2 \| "da bridge 2001" \| marley marl, l.e. \| capone, cormega, marley mar \| 4:32 row 3 : 3 \| "we live this" \| havoc \| big noyd, havoc, rox \| 4:08 row 4 : 4 \| "real niggas" \| l.e.s \| nas, ruc \| 4:39 row 5 : 5 \| "find ya wealth" \| l.e.s \| nas \| 3:40 row 6 : 6 \| "straight outta q.b \| l.e.s \| cormega, jungle, poet \| 3:55 row 7 : 7 \| "oochie wally (remix) \| ez elpee \| nas, bravehearts \| 4:00 row 8 : 8 \| "our way" \| scott storch \| capone-n-noreaga, \| 4:47 row 9 : 9 \| "fire" \| l.e.s \| nature \| 3:39 row 10 : 10 \| "power rap" (freestyle interlude \| havoc \| prodigy \| 2:30 row 11 : 11 \| "street glory" \| l.e.s \| nas, pop \| 3:30 row 12 : 12 \| "we break bread" \| l.e.s \| chaos, craig g, little \| 4:43 row 13 : 13 \| "money" \| the alchemist \| mr. challish \| 3:15 row 14 : 14 \| "self conscience" \| the infinite arkatechz \| nas, prodigy \| 3:15 row 15 : 15 \| "die 4" \| plain truth \| infamous mobb \| 4:01 row 16 : 16 \| "kids in da p.j \| the infinite arkatechz \| millennium thug, \| 4:35 row 17 : 17 \| "teenage thug" (bon \| al west \| millennium thug, \| 4:02 ] Execute this SQL based on the above table: select count ( # ) where # >= 14	4
[ header: rnd. \| pick # \| nfl team \| player \| pos. \| college \| conf. \| notes row 1 : 1 \| 1 \| oakland raiders \| jamarcus russell \| qb \| lsu \| sec \| None row 2 : 1 \| 6 \| washington redskins \| laron landry \| s \| lsu \| sec \| None row 3 : 1 \| 22 \| cleveland browns \| brady quinn \| qb \| notre dame \| ind \| from dallas row 4 : 2 \| 35 \| tampa bay buccaneers \| arron sears \| g \| tennessee \| sec \| None row 5 : 2 \| 52 \| st. louis rams \| brian leonard \| fb \| rutgers \| big east \| None row 6 : 3 \| 71 \| miami dolphins \| lorenzo booker \| rb \| florida state \| acc \| None row 7 : 3 \| 77 \| pittsburgh steelers \| matt spaeth \| te \| minnesota \| big ten \| None row 8 : 3 \| 78 \| green bay packers \| james jones \| wr \| san jose state \| wac \| None row 9 : 3 \| 79 \| jacksonville jaguars \| mike sims-walker \| wr \| central florida \| c-usa \| None row 10 : 3 \| 85 \| seattle seahawks \| brandon mebane \| dt \| california \| pac-10 \| None row 11 : 4 \| 127 \| new england patriots \| kareem brown \| dt \| miami (fl) \| acc \| None row 12 : 5 \| 161 \| seattle seahawks \| will herring \| lb \| auburn \| sec \| None row 13 : 5 \| 164 \| carolina panthers \| tim shaw \| lb \| penn state \| big ten \| from new york jets row 14 : 6 \| 177 \| new york jets \| jacob bender \| ot \| nicholls state \| southland \| from tampa bay row 15 : 6 \| 178 \| dallas cowboys \| nick folk \| k \| arizona \| pac-10 \| from cleveland row 16 : 6 \| 204 \| tennessee titans \| jacob ford \| de \| central arkansas \| ind \| from san diego row 17 : 7 \| 214 \| tampa bay buccaneers \| chris denman \| ot \| fresno state \| wac \| None row 18 : 7 \| 217 \| minnesota vikings \| tyler thigpen \| qb \| coastal carolina \| big south \| None row 19 : 7 \| 222 \| buffalo bills \| derek schouman \| te \| boise state \| wac \| None row 20 : 7 \| 230 \| cincinnati bengals \| dan santucci \| g \| notre dame \| ind \| None row 21 : 7 \| 248 \| st. louis rams \| keith jackson, jr \| dt \| arkansas \| sec \| None ] Execute this SQL based on the above table: select count ( conf. ) where pick # > 565	0
[ header: year \| tournament \| venue \| played \| won \| lost \| tied \| n/r \| result row 1 : 1989-90 \| world series \| australia \| 8 \| 6 \| 2 \| 0 \| 0 \| won row 2 : 1990-91 \| world series \| australia \| 10 \| 9 \| 1 \| 0 \| 0 \| won row 3 : 1991-92 \| world series \| australia \| 10 \| 7 \| 2 \| 0 \| 1 \| won row 4 : 1992 \| 5th world cup \| aust/nz \| 8 \| 4 \| 4 \| 0 \| 0 \| eliminated row 5 : 1992 \| v sri lanka \| sri lanka \| 3 \| 1 \| 2 \| 0 \| 0 \| lost row 6 : 1993 \| v new zealand \| new zealand \| 5 \| 3 \| 2 \| 0 \| 0 \| won row 7 : 1993 \| texaco trophy \| england \| 3 \| 3 \| 0 \| 0 \| 0 \| won row 8 : 1993-94 \| world series \| australia \| 11 \| 7 \| 4 \| 0 \| 0 \| won row 9 : 1994 \| v south africa \| south africa \| 8 \| 4 \| 4 \| 0 \| 0 \| drawn row 10 : 1994 \| wills triangular series \| pakistan \| 6 \| 5 \| 1 \| 0 \| 0 \| won row 11 : 1994-95 \| world series \| australia \| 4 \| 3 \| 1 \| 0 \| 0 \| won row 12 : 1995 \| nz centenary t'ment \| new zealand \| 4 \| 3 \| 1 \| 0 \| 0 \| won row 13 : 1995 \| v west indies \| west indies \| 5 \| 1 \| 4 \| 0 \| 0 \| lost row 14 : 1995-96 \| world series \| australia \| 10 \| 7 \| 3 \| 0 \| 0 \| won row 15 : 1996 \| singer world series \| sri lanka \| 4 \| 2 \| 2 \| 0 \| 0 \| runner-up row 16 : 1996 \| titan cup \| india \| 5 \| 0 \| 5 \| 0 \| 0 \| eliminated row 17 : 1997 \| v south africa \| south africa \| 7 \| 4 \| 3 \| 0 \| 0 \| won row 18 : 1997 \| texaco trophy \| england \| 3 \| 0 \| 3 \| 0 \| 0 \| lost row 19 : 1998 \| v new zealand \| australia \| 4 \| 2 \| 2 \| 0 \| 0 \| drawn row 20 : 1998 \| pepsi triangular series \| india \| 5 \| 3 \| 2 \| 0 \| 0 \| won row 21 : 1998 \| coca-cola cup \| sharjah \| 5 \| 4 \| 1 \| 0 \| 0 \| runner-up row 22 : 1998 \| wills cup \| bangladesh \| 1 \| 0 \| 1 \| 0 \| 0 \| eliminated row 23 : 1998 \| v pakistan \| pakistan \| 3 \| 3 \| 0 \| 0 \| 0 \| won row 24 : 1999 \| cub series \| australia \| 12 \| 9 \| 3 \| 0 \| 0 \| won row 25 : 1999 \| v west indies \| west indies \| 7 \| 3 \| 3 \| 1 \| 0 \| drawn row 26 : 1999 \| 7th world cup \| uk/ire/neth \| 10 \| 7 \| 2 \| 1 \| 0 \| won row 27 : 1999 \| aiwa cup \| sri lanka \| 5 \| 4 \| 1 \| 0 \| 0 \| runner-up row 28 : 1999 \| v zimbabwe \| zimbabwe \| 3 \| 3 \| 0 \| 0 \| 0 \| won ] Execute this SQL based on the above table: select tournament where venue > ( select venue where tournament = '7th world cup' ) order by venue limit 1	v west indies
[ header: township \| fips \| population center \| population \| population density /km2 (/sq mi) \| land area km2 (sq mi) \| water area km2 (sq mi) \| water % \| geographic coordinates row 1 : belleville \| 5575 \| None \| 675 \| 4 (11) \| 155 (60) \| 0 (0) \| 0.14% \| 37°3′50′′n 96° row 2 : caneyville \| 10425 \| None \| 88 \| 1 (2) \| 144 (55) \| 1 (0) \| 0.38% \| 37°15′23′′n 96° row 3 : center \| 11575 \| None \| 75 \| 1 (1) \| 144 (56) \| 1 (0) \| 0.80% \| 37°15′28′′n 96° row 4 : harrison \| 30275 \| None \| 114 \| 1 (2) \| 142 (55) \| 0 (0) \| 0.14% \| 37°4′3′′n 96° row 5 : hendricks \| 31300 \| None \| 179 \| 1 (3) \| 142 (55) \| 0 (0) \| 0.05% \| 37°1′12′′n 96° row 6 : jefferson \| 35125 \| cedar vale \| 834 \| 6 (15) \| 144 (56) \| 1 (0) \| 0.45% \| 37°6′45′′n 96° row 7 : lafayette \| 37650 \| None \| 65 \| 0 (1) \| 154 (59) \| 2 (1) \| 1.40% \| 37°15′36′′n 96° row 8 : little caney \| 41525 \| None \| 353 \| 3 (8) \| 117 (45) \| 0 (0) \| 0.31% \| 37°3′51′′n 96° row 9 : salt creek \| 62775 \| None \| 123 \| 1 (3) \| 127 (49) \| 0 (0) \| 0.34% \| 37°15′13′′n 96° row 10 : sedan \| 63775 \| sedan \| 1660 \| 13 (34) \| 128 (49) \| 1 (0) \| 0.65% \| 37°7′50′′n 96° row 11 : summit \| 69025 \| None \| 106 \| 1 (2) \| 144 (56) \| 1 (0) \| 0.40% \| 37°8′17′′n 96° row 12 : washington \| 75550 \| None \| 87 \| 1 (2) \| 121 (47) \| 1 (0) \| 0.71% \| 37°7′41′′n 96° ] Execute this SQL based on the above table: select sum ( township )	0.0
[ header: player \| country \| year(s) won \| r1 \| r2 \| total \| to par row 1 : don january \| united states \| 1967 \| 76 \| 74 \| 150 \| 6 row 2 : jack burke, jr \| united states \| 1956 \| 75 \| 75 \| 150 \| 6 row 3 : raymond floyd \| united states \| 1969 \| 77 \| 74 \| 151 \| 7 row 4 : jay hebert \| united states \| 1960 \| 74 \| 79 \| 153 \| 9 row 5 : dow finsterwald \| united states \| 1958 \| 79 \| 74 \| 153 \| 9 row 6 : doug ford \| united states \| 1955 \| 77 \| 80 \| 154 \| 14 row 7 : jerry barber \| united states \| 1961 \| 78 \| 80 \| 158 \| 14 row 8 : gene sarazen \| united states \| 1922, 1923, 1933 \| 81 \| 79 \| 160 \| 16 row 9 : walter burkemo \| united states \| 1953 \| 83 \| 79 \| 162 \| 18 row 10 : denny shute \| united states \| 1936, 1937 \| 81 \| 87 \| 168 \| 24 ] Execute this SQL based on the above table: select r2 where country = 'united states'	74.0, 75.0, 74.0, 79.0, 74.0, 80.0, 80.0, 79.0, 79.0, 87.0
[ header: pick # \| cfl team \| player \| position \| college row 1 : 25 \| montreal alouettes \| shawn gifford \| ot \| charleston southern row 2 : 26 \| toronto argonauts \| kevin eiben \| s \| bucknell row 3 : 27 \| winnipeg blue bombers \| nick tsatsaronis \| rb \| memphis row 4 : 28 \| hamilton tiger-cats \| ryan donnelly \| ol \| mcmaster row 5 : 29 \| montreal alouettes \| peter moore \| dl \| syracuse row 6 : 30 \| calgary stampeders \| andrew carter \| ol \| bishop's row 7 : 31 \| montreal alouettes \| steven maheu \| wr/qb \| simon fraser row 8 : 32 \| bc lions \| kelly bates \| ol \| saskatchewan ] Execute this SQL based on the above table: select pick # where pick # in ( 26 , 26 ) order by pick # asc limit 1	26
[ header: # \| date \| venue \| opponent \| score \| result \| competition row 1 : 1 \| 29 march 2000 \| vasil levski national stadium, so \| belarus \| 1-0 \| 4-1 \| friendly row 2 : 2 \| 7 october 2000 \| georgi asparuhov stadium, so \| malta \| 3-0 \| 3-0 \| 2002 world cup qualifier row 3 : 3 \| 27 march 2003 \| stadion mladost, \| serbia and montenegro \| 2-1 \| 2-1 \| friendly row 4 : 4 \| 7 june 2003 \| vasil levski national stadium, so \| belgium \| 2-2 \| 2-2 \| euro 2004 qualifier row 5 : 5 \| 12 november 2005 \| vasil levski national stadium, so \| georgia \| 5-0 \| 6-2 \| friendly row 6 : 6 \| 12 november 2005 \| vasil levski national stadium, so \| georgia \| 6-2 \| 6-2 \| friendly row 7 : 7 \| 9 may 2006 \| nagai stadium, osaka \| japan \| 1-0 \| 2-1 \| 2006 kirin cup ] Execute this SQL based on the above table: select min ( # )	1
[ header: pos \| no \| driver \| constructor \| laps \| time/retired \| grid \| points row 1 : 1 \| 5 \| jim clark \| lotus-ford \| 80 \| 1:59:25.6 \| 1 \| 9 row 2 : 2 \| 2 \| denny hulme \| brabham-repco \| 80 \| + 12.8 \| 4 \| 6 row 3 : 3 \| 8 \| chris amon \| ferrari \| 80 \| + 16.6 \| 6 \| 4 row 4 : 4 \| 1 \| jack brabham \| brabham-repco \| 80 \| + 21.8 \| 3 \| 3 row 5 : 5 \| 12 \| pedro rodriguez \| cooper-maserati \| 79 \| + 1 lap \| 9 \| 2 row 6 : 6 \| 7 \| john surtees \| honda \| 78 \| + 2 laps \| 7 \| 1 row 7 : 7 \| 15 \| chris irwin \| brm \| 77 \| + 3 laps \| 13 \| None row 8 : 8 \| 20 \| david hobbs \| brm \| 77 \| + 3 laps \| 14 \| None row 9 : 9 \| 14 \| alan rees \| cooper-maserati \| 76 \| + 4 laps \| 15 \| None row 10 : 10 \| 18 \| guy ligier \| brabham-repco \| 76 \| + 4 laps \| 21 \| None row 11 : ret \| 19 \| bob anderson \| brabham-climax \| 67 \| engine \| 17 \| None row 12 : ret \| 6 \| graham hill \| lotus-ford \| 64 \| engine \| 2 \| None row 13 : ret \| 4 \| mike spence \| brm \| 44 \| ignition \| 11 \| None row 14 : ret \| 9 \| dan gurney \| eagle-weslake \| 34 \| clutch \| 5 \| None row 15 : ret \| 22 \| silvio moser \| cooper-ats \| 29 \| oil pressure \| 20 \| None row 16 : ret \| 11 \| jochen rindt \| cooper-maserati \| 26 \| engine \| 8 \| None row 17 : ret \| 3 \| jackie stewart \| brm \| 20 \| transmission \| 12 \| None row 18 : ret \| 10 \| bruce mclaren \| eagle-weslake \| 14 \| engine \| 10 \| None row 19 : ret \| 17 \| jo siffert \| cooper-maserati \| 10 \| engine \| 18 \| None row 20 : ret \| 23 \| jo bonnier \| cooper-maserati \| 0 \| engine \| 9 \| None row 21 : dns \| 16 \| piers courage \| brm \| 0 \| non starter \| None \| None ] Execute this SQL based on the above table: select driver order by driver + constructor desc limit 1	jim clark
[ header: pos \| no \| driver \| constructor \| laps \| time/retired \| grid \| points row 1 : 1 \| 7 \| jo bonnier \| brm \| 75 \| 2:05:26.8 \| 1 \| 8 row 2 : 2 \| 8 \| jack brabham \| cooper-climax \| 75 \| + 14.2 \| 2 \| 6 row 3 : 3 \| 9 \| masten gregory \| cooper-climax \| 75 \| + 1:23.0 \| 7 \| 4 row 4 : 4 \| 12 \| innes ireland \| lotus-climax \| 74 \| + 1 lap \| 9 \| 3 row 5 : 5 \| 1 \| jean behra \| ferrari \| 74 \| + 1 lap \| 4 \| 2 row 6 : 6 \| 3 \| phil hill \| ferrari \| 73 \| + 2 laps \| 12 \| None row 7 : 7 \| 14 \| graham hill \| lotus-climax \| 73 \| + 2 laps \| 5 \| None row 8 : 8 \| 10 \| maurice trintignant \| cooper-climax \| 73 \| + 2 laps \| 11 \| None row 9 : 9 \| 16 \| cliff allison \| ferrari \| 71 \| + 4 laps \| 15 \| None row 10 : 10 \| 15 \| carel godin de beaufort \| porsche \| 68 \| + 7 laps \| 14 \| None row 11 : ret \| 11 \| stirling moss \| cooper-climax \| 62 \| gearbox \| 3 \| 1 row 12 : ret \| 6 \| harry schell \| brm \| 46 \| gearbox \| 6 \| None row 13 : ret \| 2 \| tony brooks \| ferrari \| 42 \| oil leak \| 8 \| None row 14 : ret \| 5 \| carroll shelby \| aston martin \| 25 \| engine \| 10 \| None row 15 : ret \| 4 \| roy salvadori \| aston martin \| 3 \| engine \| 13 \| None ] Execute this SQL based on the above table: select max ( time/retired )	14.2
[ header: device \| type \| iops \| interface \| notes row 1 : simple slc ssd \| ssd \| ~400 iops[citation needed] \| sata 3 gbit/s \| None row 2 : intel x25-m g2 \| ssd \| ~8,600 iops \| sata 3 gbit/s \| intel's data sheet claims 6,600/8 row 3 : intel x25-e (sl \| ssd \| ~5,000 iops \| sata 3 gbit/s \| intel's data sheet claims 3,300 row 4 : g.skill phoenix pro \| ssd \| ~20,000 iops \| sata 3 gbit/s \| sandforce-1200 based s row 5 : ocz vertex 3 \| ssd \| up to 60,000 iops \| sata 6 gbit/s \| random write 4 kb (aligned row 6 : corsair force series gt \| ssd \| up to 85,000 iops \| sata 6 gbit/s \| 240 gb drive, 555 row 7 : ocz vertex 4 \| ssd \| up to 120,000 iops \| sata 6 gbit/s \| 256 gb drive, 560 row 8 : texas memory systems ramsan \| ssd \| 120,000+ random read/write iops \| pcie \| includes ram cache row 9 : virident systems tachion \| ssd \| 320,000 sustained read iops using 4k \| pcie \| None row 10 : fusion-io iodrive du \| ssd \| 250,000+ iops \| pcie \| None row 11 : violin memory violin 3200 \| ssd \| 250,000+ random read/write iops \| pcie /fc/infini \| flash memory array row 12 : whiptail, accela \| ssd \| 250,000/200,000+ write/read i \| fibre channel, iscsi, infini \| flash based storage array row 13 : ddrdrive x1 \| ssd \| 300,000+ (512b random read \| pcie \| None row 14 : whiptail, invicta \| ssd \| 650,000/550,000+ read/write i \| fibre channel, iscsi, infini \| flash based storage array row 15 : violin memory violin 6000 \| 3ru flash memory array \| 1,000,000+ random read/write iops \| /fc/infiniband/10g \| None ] Execute this SQL based on the above table: select interface order by interface desc limit 1	sata 6 gbit/s
[ header: name \| developer \| release \| type \| game flow \| setting row 1 : 8realms \| jagex \| 2011 (now closed) \| strategy \| real-time \| empire building row 2 : adventure quest worlds \| artix entertainment \| 2008 \| mmorpg \| real-time \| rpg row 3 : blood wars \| bw team \| 2006 \| mmorpg \| real-time \| post-apocalyptic world row 4 : business tycoon online \| dovogame llc \| 2009 \| mmorpg \| real-time \| fantasy/business simulation row 5 : castle marrach \| skotos \| 2001 \| role-playing \| real-time \| fantasy/storytelling row 6 : club penguin \| new horizon entertainment/disney \| 2005 \| social networking \| real-time \| antarctica row 7 : dead frontier \| neil yates \| 2008 \| mmorpg, third-person shoot \| real-time \| post-apocalyptic world row 8 : doomlord \| beholder kft \| 2008 \| rpg \| real-time \| fantasy row 9 : earth eternal \| sparkplay media \| 2009 \| mmorpg \| real-time \| fantasy row 10 : echo bazaar! \| failbetter games \| 2009 \| rpg \| turn-based \| gothic fantasy/steampunk row 11 : fusionfall \| cartoon network/grigon entertainment \| 2009 \| mmorpg \| real-time \| science fiction row 12 : legends of zork \| jolt online gaming \| 2009-2011 (now closed) \| role-playing \| turn-based \| fantasy/humorous row 13 : lord of ultima \| electronic arts \| 2010 \| strategy \| real-time \| fantasy row 14 : miniconomy \| trade games international bv \| 2002 \| strategy \| real-time \| contemporary/country building row 15 : nationstates \| max barry \| 2002 \| strategy \| real-time \| contemporary/country building row 16 : neopets \| viacom \| 1999 \| strategy, simulation \| real-time \| virtual pet site row 17 : pardus \| bayer&szell oeg \| 2004 \| strategy \| turn-based \| science fiction row 18 : pirate galaxy \| splitscreen studios \| 2000 \| role-playing \| real-time \| science fiction row 19 : planetarion \| fubra \| 2000 \| strategy \| turn-based \| science fiction row 20 : quick hit football \| play hard sports \| 2009 \| sports game \| None \| sports/american football row 21 : raceconflicts \| raceconflicts \| 2004 \| mmorpg \| turn-based \| fantasy row 22 : sentou gakuen \| pst team \| 2012 \| mmorpg, visual novel \| real-time \| school life row 23 : threechess \| rs consult bg lt \| 2010 \| strategy \| turn-based \| chess variant row 24 : transformice \| tigrounette, melibell \| 2010 \| platform game \| real-time \| mmog row 25 : travian \| travian games \| 2004 \| mmorts, strategy \| real-time \| antiquity/empire building row 26 : urban dead \| kevan davis \| 2005 \| mmorpg \| turn-based \| contemporary/zombies row 27 : tribal wars \| inno games \| 2003 \| strategy \| real-time \| empire building ] Execute this SQL based on the above table: select type where type < ( select type where type = 'strategy' ) order by type desc limit 1	sports game
[ header: year \| title \| chinese title \| role \| notes row 1 : 1992 \| to miss with love \| 逃學外傳 \| lai man-si \| None row 2 : 1992 \| super lady cop \| 超级女警 \| yoki \| None row 3 : 1992 \| fight back to school ii \| 逃學威龍2 \| sandy \| None row 4 : 1993 \| once a cop \| 超級計劃 \| annie lee \| None row 5 : 1993 \| taxi hunter \| 的士判官 \| yan \| None row 6 : 1993 \| tom, dick and hairy \| 風塵三俠 \| pearl chan \| None row 7 : 1993 \| vampire family \| 一屋哨牙鬼 \| chu lee-mei \| None row 8 : 1994 \| lantern \| 燈籠 \| fong \| None row 9 : 1994 \| easy money \| 先洗未來錢 \| sisi li \| None row 10 : 1995 \| shaolin kung fu kids \| 笑林老祖 \| sister lam \| None row 11 : 1995 \| trouble maker \| 蠟筆小小生 \| None \| None row 12 : 1995 \| remember m, remember e \| 那有一天不想你 \| chui ching \| None row 13 : 1995 \| cupid love \| 七月俏佳人 \| ching-ching \| None row 14 : 1995 \| a chinese odyss \| 西遊記第壹佰零壹回之月光寶盒 \| purple / lin zixia \| None row 15 : 1996 \| the feeling of love \| 重慶愛情感覺 \| None \| None row 16 : 1996 \| hero of swallow \| 神偷燕子李三 \| chinny \| None row 17 : 1997 \| ah fai the dumb \| 天才與白痴 \| man-man \| None row 18 : 1998 \| temptress of a thousand face \| 千面嬌娃 \| sherry wong \| None row 19 : 1998 \| step into the dark \| 夜半無人屍語時 \| faith ching \| None row 20 : 1998 \| the love and sex of the eastern \| 愛在娛樂圈的日子 \| yue \| None row 21 : 1998 \| take five \| 對不起,幹掉你 \| None \| None row 22 : 1998 \| raped by an angel 2: the \| 強姦2 制服誘惑 \| po-man \| None row 23 : 1998 \| the conman \| 賭俠1999 \| ching \| None row 24 : 1999 \| the boss up there \| 生命楂fit人 \| fong hei-tung \| None row 25 : 1999 \| raped by an angel 4: the \| 強姦終極篇之最後羔羊 \| po-man \| None row 26 : 2000 \| love correction \| 緣份有take 2 \| emma lau \| None row 27 : 2000 \| conman in tokyo \| 中華賭俠 \| karen \| None row 28 : 2001 \| stowaway \| 驚天大逃亡 \| kam lan \| None row 29 : 2001 \| never say goodbye \| 有人說愛我 \| jean \| None row 30 : 2002 \| chinese odyssey \| 天下無雙 \| amour amour \| guest star row 31 : 2002 \| time 4 hope \| 二人三足 \| cindy \| None row 32 : 2003 \| shiver \| 心寒 \| sammi mok sum-y \| None row 33 : 2003 \| dack night wolf \| None \| None \| None row 34 : 2004 \| love is a many stupid thing \| 精裝追女仔2004 \| chu yan \| guest star row 35 : 2007 \| whispers and moans \| 性工作者十日談 \| coco \| None ] Execute this SQL based on the above table: select count ( * ) where role = 'chui ching'	1
[ header: season \| skip \| third \| second \| lead \| events row 1 : 1995-96 \| arnold asham \| david nedohin \| sean nedohin \| don rudd \| None row 2 : 1996-97 \| dale duguid \| james kirkness \| david nedohin \| doug armstrong \| None row 3 : 1997-98 \| david nedohin (four \| randy ferbey (skip \| carter rycroft \| pat mccallum \| None row 4 : 1998-99 \| david nedohin (four \| randy ferbey (skip \| scott pfeifer \| carter rycroft \| None row 5 : 2000-01 \| david nedohin (four \| randy ferbey (skip \| scott pfeifer \| marcel rocque \| 2001 alta., brier, w row 6 : 2001-02 \| david nedohin (four \| randy ferbey (skip \| scott pfeifer \| marcel rocque \| 2002 alta., brier, w row 7 : 2002-03 \| david nedohin (four \| randy ferbey (skip \| scott pfeifer \| marcel rocque \| 2003 alta., brier, w row 8 : 2003-04 \| david nedohin (four \| randy ferbey (skip \| scott pfeifer \| marcel rocque \| 2004 alta., brier row 9 : 2004-05 \| david nedohin (four \| randy ferbey (skip \| scott pfeifer \| marcel rocque \| 2005 alta., brier, w row 10 : 2007-08 \| david nedohin (four \| randy ferbey (skip \| scott pfeifer \| marcel rocque \| 2008 alta row 11 : 2008-09 \| david nedohin (four \| randy ferbey (skip \| scott pfeifer \| marcel rocque \| 2009 alta row 12 : 2009-10 \| david nedohin (four \| randy ferbey (skip \| scott pfeifer \| marcel rocque \| 2009 coct, 2010 alta row 13 : 2010-11 \| randy ferbey \| david nedohin \| blayne iskiw \| david harper \| 2011 alta row 14 : 2011-12 \| david nedohin (four \| randy ferbey (skip \| ted appelman \| brendan melnyk \| None row 15 : 2012-13 \| david nedohin \| colin hodgson \| mike westlund \| tom sallows \| None row 16 : 2013-14 \| kevin martin \| david nedohin \| marc kennedy \| ben hebert \| 2013 coct, 2014 alta ] Execute this SQL based on the above table: select count ( third ) where third = 'randy ferbey (skip)'	11
[ header: year \| winners \| score \| score \| runners-up \| venue \| winning captain row 1 : 2000 \| meath \| 5-14 (29) \| 2-10 (16) \| carlow \| cusack park \| None row 2 : 2001 \| kerry \| 4-14 (22) \| 3-10 (19) \| westmeath \| croke park \| michael 'boxer' row 3 : 2002 \| laois \| 1-20 (23) \| 2-14 (20) \| antrim \| semple stadium \| john lyons row 4 : 2003 \| antrim \| 3-18 (27) \| 3-12 (21) \| kerry \| croke park \| None row 5 : 2004 \| down \| 5-15 (30) \| 3-7 (16) \| westmeath \| gaelic grounds \| simon wilson row 6 : 2005 \| offaly \| 6-21 (39) \| 4-7 (19) \| carlow \| semple stadium \| barry teehan row 7 : 2006 \| dublin \| 0-16 (16) \| 1-6 (9) \| kerry \| semple stadium \| philip brennan row 8 : 2007 \| laois \| 2-19 (25) \| 0-8 (8) \| wicklow \| semple stadium \| joe fitzpatrick row 9 : 2008 \| westmeath \| 2-12 (18) \| 0-12 (12) \| carlow \| gaelic grounds \| brendan murtagh row 10 : 2009 \| offaly \| 1-13 (16) \| 0-13 (13) \| wexford \| semple stadium \| ger oakley row 11 : 2010 \| wexford \| 1-16 (19) \| 2-9 (15) \| clare \| semple stadium \| diarmuid lyng row 12 : 2011 \| limerick \| 4-12 (24) \| 2-13 (19) \| clare \| cusack park \| gavin o'mahony row 13 : 2012 \| clare \| 0-21 (21) \| 1-16 (19) \| limerick \| gaelic grounds \| patrick donnellan row 14 : 2013 \| dublin \| 1-16 (19) \| 1-15 (18) \| limerick \| semple stadium \| tbc ] Execute this SQL based on the above table: select venue where venue in ( 'cusack park' , 'semple stadium' ) order by winners - year desc limit 1	cusack park
[ header: name in english \| name in turkish \| area (km2) \| depth \| location (districts and/or provinces) row 1 : lake tuz \| tuz golu \| 1500 km2 \| 2 m \| aksaray, ankara, row 2 : lake egirdir \| egirdir golu \| 482 km2 \| None \| isparta row 3 : lake iznik \| iznik golu \| 308 km2 \| None \| iznik in bursa, row 4 : lake manyas \| manyas golu \| 166 km2 \| None \| balıkesir row 5 : lake acıgol \| acıgol \| 153 km2 \| None \| denizli, afyon row 6 : lake uluabat \| uluabat golu \| 134 km2 \| 1-2 m \| bursa row 7 : lake cıldır \| cıldır golu \| 115 km2 \| None \| ardahan, kars row 8 : lake palas tuzla \| palas tuzla gol \| 106 km2 \| 15 m \| palas/kayseri row 9 : lake hazar \| hazar golu \| 86 km2 \| None \| elazıg row 10 : lake koycegiz \| koycegiz golu \| 52 km2 \| None \| koycegiz in mugla row 11 : lake isıklı \| isıklı golu \| 49 km2 \| None \| denizli row 12 : lake yay \| yay golu \| 37 km2 \| None \| kayseri row 13 : lake tuzla \| tuzla golu \| 23 km2 \| None \| tuzla row 14 : lake kucukcekmece \| kucukcekmece gol \| 16 km2 \| None \| kucukcekmece, ist row 15 : lake yaraslı \| yaraslı golu \| 16 km2 \| None \| burdur row 16 : lake haclı \| haclı golu \| 16 km2 \| None \| mus row 17 : lake arin \| arin golu \| 13 km2 \| None \| None row 18 : lake balık \| balık golu \| 12 km2 \| None \| None row 19 : lake akdogan \| akdogan golu \| 11 km2 \| None \| None row 20 : lake cavuslu \| cavuslu golu \| 9 km2 \| None \| None row 21 : lake duden \| duden golu \| 8 km2 \| None \| None row 22 : lake gala \| gala golu \| 8 km2 \| None \| edirne row 23 : lake karatas \| karatas golu \| 6 km2 \| None \| None row 24 : lake eymir \| eymir golu \| 1.8 km2 \| None \| ankara row 25 : lake golcuk \| golcuk golu \| 1 km2 \| None \| izmir ] Execute this SQL based on the above table: select count ( name in english ) where area (km2) >= 173	3
[ header: year \| album \| territory \| label \| notes row 1 : 1989 \| good deeds and dirty rags \| uk \| capitol records \| debut album, reached no. 26 on uk row 2 : 1989 \| fish heads and tails \| uk \| capitol records \| mid-price live and rarities compilation row 3 : 1991 \| hammer and tongs \| uk \| radioactive records/mca \| second studio album; reached no. 61 on row 4 : 1991 \| goodbye mr. mackenzie \| international \| radioactive records/mca \| compilation of tracks from both albums, remixed row 5 : 1993 \| live on the day of storms \| uk \| blokshok records \| live album row 6 : 1994 \| five \| uk \| blokshok records \| third studio album row 7 : 1995 \| jezebel \| uk \| blokshok records \| rarities compilation row 8 : 1996 \| the glory hole \| uk \| blokshok records \| fourth and final studio album: manson, row 9 : 2005 \| the river sessions \| uk \| river records \| double live album row 10 : 2009 \| the rattler: live '91' \| uk \| md music company \| live album (digital release) ] Execute this SQL based on the above table: select album order by year desc limit 1	the rattler: live '91'
[ header: rank \| film \| year \| opening weekend (three day) \| inflation-adjusted (2014 usd) row 1 : 1 \| marvel's the avengers \| 2012 \| $207,438,708 \| $213,091,480 row 2 : 2 \| iron man 3 \| 2013 \| $174,144,585 \| $176,308,953 row 3 : 3 \| harry potter and the deathly hall \| 2011 \| $169,189,427 \| $177,373,590 row 4 : 4 \| the dark knight rises \| 2012 \| $160,887,295 \| $165,271,526 row 5 : 5 \| the dark knight \| 2008 \| $158,411,483 \| $173,518,111 row 6 : 6 \| the hunger games: catching fire \| 2013 \| $158,074,286 \| $160,038,924 row 7 : 7 \| the hunger games \| 2012 \| $152,535,747 \| $156,692,396 row 8 : 8 \| spider-man 3 \| 2007 \| $151,116,516 \| $171,876,545 row 9 : 9 \| the twilight saga: \| 2009 \| $142,839,137 \| $157,018,918 row 10 : 10 \| the twilight saga: \| 2012 \| $141,067,634 \| $144,911,773 row 11 : 11 \| the twilight saga: \| 2011 \| $138,122,261 \| $144,803,619 row 12 : 12 \| pirates of the caribbean: dead \| 2006 \| $135,634,554 \| $158,673,173 row 13 : 13 \| iron man 2 \| 2010 \| $128,122,480 \| $138,563,103 row 14 : 14 \| harry potter and the deathly hall \| 2010 \| $125,017,372 \| $135,204,962 row 15 : 15 \| shrek the third \| 2007 \| $121,629,270 \| $138,338,411 row 16 : 16 \| man of steel \| 2013 \| $116,619,362 \| $118,068,774 row 17 : 17 \| alice in wonderland \| 2010 \| $116,101,023 \| $125,562,025 row 18 : 18 \| spider-man \| 2002 \| $114,844,116 \| $150,582,840 row 19 : 19 \| pirates of the caribbean: at \| 2007 \| $114,732,820 \| $130,494,543 row 20 : 20 \| toy story 3 \| 2010 \| $110,307,189 \| $119,296,055 row 21 : 21 \| transformers: revenge of the fallen \| 2009 \| $108,966,307 \| $119,783,499 row 22 : 22 \| star wars episode iii: revenge \| 2005 \| $108,435,841 \| $130,939,650 row 23 : 23 \| shrek 2 \| 2004 \| $108,037,878 \| $134,895,074 row 24 : 24 \| x-men: the last stand \| 2006 \| $102,750,665 \| $120,203,691 row 25 : 25 \| harry potter and the goblet \| 2005 \| $102,685,961 \| $123,996,491 row 26 : 26 \| indiana jones and the kingdom of \| 2008 \| $100,137,835 \| $109,687,301 ] Execute this SQL based on the above table: select count ( film ) where year > 2013	0
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| brazil \| 9 \| 0 \| 0 \| 9 row 2 : 2 \| argentina \| 0 \| 7 \| 1 \| 8 row 3 : 3 \| uruguay \| 0 \| 1 \| 4 \| 5 row 4 : 4 \| dominican republic \| 0 \| 1 \| 0 \| 1 row 5 : 5 \| chile \| 0 \| 0 \| 1 \| 1 row 6 : 5 \| greenland \| 0 \| 0 \| 1 \| 1 row 7 : 5 \| paraguay \| 0 \| 0 \| 1 \| 1 row 8 : 5 \| puerto rico \| 0 \| 0 \| 1 \| 1 row 9 : total \| total \| 9 \| 9 \| 9 \| 27 ] Execute this SQL based on the above table: select count ( nation ) where nation = '9' and nation != 'brazil'	0
[ header: county \| obama \| votes \| romney \| votes \| others \| votes \| total row 1 : bernalillo \| 55.55% \| 147,183 \| 39.35% \| 104,242 \| 5.10% \| 13,517 \| 264,942 row 2 : catron \| 26.38% \| 560 \| 70.37% \| 1,494 \| 3.25% \| 69 \| 2,123 row 3 : chaves \| 32.28% \| 6,641 \| 64.77% \| 13,327 \| 2.95% \| 607 \| 20,575 row 4 : cibola \| 60.18% \| 4,907 \| 36.37% \| 2,966 \| 3.45% \| 281 \| 8,154 row 5 : colfax \| 49.05% \| 2,828 \| 46.83% \| 2,700 \| 4.11% \| 237 \| 5,765 row 6 : dona ana \| 55.97% \| 36,778 \| 41.07% \| 26,988 \| 2.96% \| 1,946 \| 65,712 row 7 : eddy \| 31.83% \| 6,110 \| 65.36% \| 12,546 \| 2.81% \| 539 \| 19,195 row 8 : grant \| 55.00% \| 7,009 \| 41.48% \| 5,286 \| 3.52% \| 449 \| 12,744 row 9 : guadalupe \| 69.68% \| 1,478 \| 26.12% \| 554 \| 4.20% \| 89 \| 2,121 row 10 : lea \| 23.98% \| 4,080 \| 73.75% \| 12,548 \| 2.27% \| 387 \| 17,015 row 11 : los alamos \| 48.72% \| 5,191 \| 45.02% \| 4,796 \| 6.26% \| 667 \| 10,654 row 12 : luna \| 47.77% \| 3,583 \| 48.93% \| 3,670 \| 3.29% \| 247 \| 7,500 row 13 : mckinley \| 72.08% \| 15,363 \| 25.43% \| 5,420 \| 2.49% \| 530 \| 21,313 row 14 : mora \| 74.85% \| 1,952 \| 22.81% \| 595 \| 2.34% \| 61 \| 2,608 row 15 : otero \| 34.15% \| 6,811 \| 62.23% \| 12,412 \| 3.62% \| 723 \| 19,946 row 16 : quay \| 37.32% \| 1,384 \| 59.39% \| 2,202 \| 3.29% \| 122 \| 3,708 row 17 : roosevelt \| 28.92% \| 1,730 \| 67.73% \| 4,052 \| 3.36% \| 201 \| 5,983 row 18 : san juan \| 34.11% \| 15,688 \| 62.57% \| 28,779 \| 3.32% \| 1,527 \| 45,994 row 19 : san miguel \| 76.86% \| 8,751 \| 20.04% \| 2,281 \| 3.10% \| 353 \| 11,385 row 20 : sandoval \| 50.29% \| 26,976 \| 45.17% \| 24,228 \| 4.53% \| 2,432 \| 53,636 row 21 : santa fe \| 73.37% \| 50,097 \| 22.48% \| 15,351 \| 4.15% \| 2,832 \| 68,280 row 22 : sierra \| 38.49% \| 1,964 \| 57.39% \| 2,928 \| 4.12% \| 210 \| 5,102 row 23 : socorro \| 56.37% \| 4,047 \| 37.89% \| 2,720 \| 5.74% \| 412 \| 7,179 row 24 : taos \| 78.06% \| 11,855 \| 17.84% \| 2,710 \| 4.10% \| 623 \| 15,188 row 25 : torrance \| 37.86% \| 2,414 \| 55.22% \| 3,521 \| 6.92% \| 441 \| 6,376 row 26 : union \| 26.83% \| 472 \| 70.27% \| 1,236 \| 2.90% \| 51 \| 1,759 row 27 : valencia \| 48.73% \| 13,473 \| 46.25% \| 12,788 \| 5.01% \| 1,386 \| 27,647 ] Execute this SQL based on the above table: select count ( * ) where obama = '34.11%'	1
[ header: game \| date \| opponent \| location \| score \| ot \| attendance \| record row 1 : 1 \| january 8, 2005 \| philadelphia wings \| arrowhead pond \| w 13-10 \| None \| 5,732 \| 1-0 row 2 : 2 \| january 22, 2005 \| rochester knighthawks \| arrowhead pond \| l 11-15 \| None \| 4,053 \| 1-1 row 3 : 3 \| january 28, 2005 \| @ minnesota swarm \| xcel energy center \| w 8-7 \| None \| 12,514 \| 2-1 row 4 : 4 \| january 29, 2005 \| calgary roughnecks \| arrowhead pond \| l 12-13 \| None \| 4,159 \| 2-2 row 5 : 5 \| february 4, 2005 \| @ arizona sting \| jobing.com arena \| l 10-17 \| None \| 6,313 \| 2-3 row 6 : 6 \| february 11, 2005 \| @ buffalo bandits \| hsbc arena \| l 9-20 \| None \| 8,805 \| 2-4 row 7 : 7 \| february 18, 2005 \| @ calgary roughnecks \| pengrowth saddledome \| l 15-18 \| None \| 9,550 \| 2-5 row 8 : 8 \| march 4, 2005 \| colorado mammoth \| arrowhead pond \| l 12-13 \| None \| 4,500 \| 2-6 row 9 : 9 \| march 13, 2005 \| toronto rock \| arrowhead pond \| l 6-14 \| None \| 4,499 \| 2-7 row 10 : 10 \| march 19, 2005 \| @ colorado mammoth \| pepsi center \| l 8-16 \| None \| 16,270 \| 2-8 row 11 : 11 \| march 25, 2005 \| @ san jose stealth \| hp pavilion at san jose \| l 14-15 \| None \| 5,022 \| 2-9 row 12 : 12 \| march 26, 2005 \| san jose stealth \| arrowhead pond \| w 13-12 \| ot \| 4,834 \| 3-9 row 13 : 13 \| april 2, 2005 \| @ colorado mammoth \| pepsi center \| w 10-6 \| None \| 18,326 \| 4-9 row 14 : 14 \| april 9, 2005 \| minnesota swarm \| arrowhead pond \| l 11-12 \| ot \| 4,967 \| 4-10 row 15 : 15 \| april 15, 2005 \| arizona sting \| arrowhead pond \| l 12-14 \| None \| 5,891 \| 4-11 row 16 : 16 \| april 16, 2005 \| @ arizona sting \| jobing.com arena \| w 11-10 \| None \| 7,731 \| 5-11 ] Execute this SQL based on the above table: select max ( attendance )	18326.0
[ header: rank \| name \| nationality \| time (hand) \| notes row 1 : 1 \| tommy green \| great britain \| 4:50:10 \| or row 2 : 2 \| janis dalins \| latvia \| 4:57:20 \| None row 3 : 3 \| ugo frigerio \| italy \| 4:59:06 \| None row 4 : 4 \| karl hahnel \| germany \| 5:06:06 \| None row 5 : 5 \| ettore rivolta \| italy \| 5:07:39 \| None row 6 : 6 \| paul sievert \| germany \| 5:16:41 \| None row 7 : 7 \| henri quintric \| france \| 5:27:25 \| None row 8 : 8 \| ernie crosbie \| united states \| 5:28:02 \| None row 9 : 9 \| bill chisholm \| united states \| 5:51:00 \| None row 10 : 10 \| alfred maasik \| estonia \| 6:19:00 \| None row 11 : None \| henry cieman \| canada \| None \| dnf row 12 : None \| john moralis \| greece \| None \| dnf row 13 : None \| francesco pretti \| italy \| None \| dnf row 14 : None \| arthur tell schwab \| switzerland \| None \| dnf row 15 : None \| harry hinkel \| united states \| None \| dnf ] Execute this SQL based on the above table: select nationality order by nationality asc limit 1	canada
[ header: year \| competition \| venue \| position \| notes row 1 : 1989 \| european indoor championships \| the hague, netherlands \| 10th \| None row 2 : 1989 \| world indoor championships \| budapest, hungary \| 9th \| None row 3 : 1991 \| world indoor championships \| lisbon, portugal \| 6th \| None row 4 : 1991 \| world championships \| tokyo, japan \| 5th \| 5.75 m nr row 5 : 1992 \| european indoor championships \| genoa, italy \| 5th \| None row 6 : 1993 \| world championships \| stuttgart, germany \| 11th \| None ] Execute this SQL based on the above table: select year where year = 1989	1989, 1989
[ header: year \| derby winner \| galaxy \| draw \| chivas row 1 : 2005 \| galaxy \| 5 \| 0 \| 0 row 2 : 2006 \| galaxy \| 2 \| 1 \| 1 row 3 : 2007 \| chivas \| 1 \| 1 \| 2 row 4 : 2008 \| galaxy \| 1 \| 2 \| 0 row 5 : 2009 \| galaxy \| 3 \| 2 \| 0 row 6 : 2010 \| galaxy \| 2 \| 0 \| 0 row 7 : 2011 \| galaxy \| 2 \| 0 \| 0 row 8 : 2012 \| galaxy \| 2 \| 0 \| 1 row 9 : 2013 \| galaxy \| 2 \| 1 \| 0 row 10 : total \| None \| 20 \| 7 \| 4 ] Execute this SQL based on the above table: select sum ( chivas )	8.0
[ header: pos \| class \| no \| team \| drivers \| chassis \| engine row 1 : 32 \| s 2.0 \| 27 \| societe roc \| laurent ferrier xavier la \| lola t294 \| roc-simca 2.0l i row 2 : 33 \| s 2.0 \| 29 \| societe roc \| pierre-marie painvin franz \| lola t292 \| roc-simca 2.0l i row 3 : 34 \| s 3.0 \| 3 \| christian poirot \| christian poirot gerard \| porsche 908/2 \| porsche 3.0l flat-8 row 4 : 35 \| gt \| 59 \| gelo racing team \| tim schenken howden ganley \| porsche 911 carrera rsr \| porsche 3.0l flat-6 row 5 : 36 \| s 3.0 \| 1 \| wicky racing team \| max cohen-olivar philippe \| porsche 908/2 \| porsche 3.0l flat-8 row 6 : 39 \| t \| 98 \| auto mazda claude bouche \| claude bouchet jean rondeau \| mazda rx-3 \| mazda 12a 1.2l 2- row 7 : 40 \| gt \| 57 \| ganto racing \| john rulon-miller tom \| porsche 911 carrera rsr \| porsche 3.0l flat-6 row 8 : 41 \| gt \| 60 \| gelo racing team \| toine hezemans manfred \| porsche 911 carrera rsr \| porsche 3.0l flat-6 row 9 : 42 \| gt \| 68 \| guy verrier \| guy verrier florian vetsch jean- \| porsche 911 carrera rs \| porsche 3.0l flat-6 row 10 : 43 \| gt \| 7 \| beurlys international auto \| pietro polese "willer" \| de tomaso pantera \| ford 5.8l v8 row 11 : 45 \| s 2.0 \| 26 \| elf switzerland \| marie-claude charmasson \| renault-alpine a44 \| renault 2.0l v6 row 12 : 46 \| s 3.0 \| 18 \| sigma automotive co. ltd \| hiroshi fushida har \| sigma mc75 \| toyota 2.3l turbo row 13 : 47 \| gt \| 16 \| joest racing / teber \| clemens schickentanz hartwig \| porsche 911 carrera rsr \| porsche 3.0l flat-6 row 14 : 48 \| gt \| 96 \| bonnemaison - thiaw \| lucien nageotte gerard pic \| porsche 911 carrera rsr \| porsche 3.0l flat-6 row 15 : 50 \| s 3.0 \| 97 \| gitanes automobiles ligier \| jean-pierre beltoise \| ligier js2 \| maserati 3.0l v6 row 16 : 52 \| s 2.0 \| 40 \| philippe mettetal \| jean ragnotti michel latest \| tecma 755 \| ford 1.8l i4 row 17 : 53 \| gt ser \| 83 \| jean-yves gadal \| jean-yves gadal " \| porsche 911 carrera rs \| porsche 2.6l flat-6 ] Execute this SQL based on the above table: select count ( class )	17
[ header: school name \| city \| grades \| establishment \| charter row 1 : aliamanu intermediate school \| honolulu \| 7-8 \| 1958 \| None row 2 : anuenue school \| honolulu \| k-12 \| 1958 \| charter row 3 : central middle school \| honolulu \| 6-8 \| 1926 \| None row 4 : dole middle school \| honolulu \| 6-8 \| 1955 \| None row 5 : halau ku mana nc \| honolulu \| 6-12 \| 2000 \| charter row 6 : jarrett middle school \| honolulu \| 6-8 \| 1955 \| None row 7 : kaimuki middle school \| honolulu \| 6-8 \| 1939 \| None row 8 : kalakaua middle school \| honolulu \| 6-8 \| 1928 \| None row 9 : kawananakoa middle school \| honolulu \| 6-8 \| 1927 \| None row 10 : moanalua middle school \| honolulu \| 7-8 \| 1967 \| None row 11 : niu valley middle school \| honolulu \| 6-8 \| 1955 \| None row 12 : stevenson middle school \| honolulu \| 6-8 \| 1937 \| None row 13 : washington middle school \| honolulu \| 6-8 \| 1854 \| None ] Execute this SQL based on the above table: select school name group by school name order by sum ( establishment ) desc limit 1	halau ku mana ncpcs
[ header: season \| tier \| division \| pos. \| notes row 1 : 2003-04 \| 1 \| division de honor \| 1st \| league champion row 2 : 2004-05 \| 1 \| division de honor \| 2nd \| cup champion row 3 : 2005-06 \| 1 \| division de honor \| 3rd \| None row 4 : 2006-07 \| 1 \| division de honor \| 3rd \| None row 5 : 2007-08 \| 1 \| division de honor \| 1st \| league champion row 6 : 2008-09 \| 1 \| division de honor \| 3rd \| None row 7 : 2009-10 \| 1 \| division de honor \| 2nd \| None row 8 : 2010-11 \| 1 \| division de honor \| 2nd \| None row 9 : 2011-12 \| 1 \| division de honor \| 9th \| relegated row 10 : 2012-13 \| 3 \| primera nacional \| 1st \| None row 11 : 2013-14 \| 3 \| primera nacional \| None \| None ] Execute this SQL based on the above table: select count ( notes ) where tier > 1	0
[ header: district \| counties represented \| delegate \| party \| first elected \| committee row 1 : 1a \| allegany, garrett \| wendell r. beitzel \| republican \| 2006 \| health and government operations row 2 : 1b \| allegany \| kevin kelly \| democratic \| 1986 \| judiciary row 3 : 1c \| allegany, washington \| leroy e. myers, j \| republican \| 2002 \| appropriations row 4 : 2a \| washington \| andrew a. serafini \| republican \| 2008 \| ways and means row 5 : 2b \| washington \| christopher b. shank \| republican \| 1998 \| judiciary row 6 : 2c \| washington \| john p. donoghu \| democratic \| 1990 \| health and government operations row 7 : 3a \| frederick \| galen r. clagett \| democratic \| 2002 \| appropriations row 8 : 3a \| frederick \| sue hecht \| democratic \| 1994 \| economic matters row 9 : 3b \| frederick, washington \| michael hough \| republican \| 2002 \| health and government operations row 10 : 4a \| frederick \| joseph r. bartlet \| republican \| 1998 \| ways and means row 11 : 4a \| frederick \| kelly m. schulz \| republican \| 2011 \| environmental matters row 12 : 4b \| carroll, frederick \| donald b. elliot \| republican \| 1986 \| health and government operations row 13 : 5a \| carroll \| tanya thornton shewell \| republican \| 2004 \| environmental matters row 14 : 5a \| carroll \| nancy r. stocksdale \| republican \| 1994 \| appropriations row 15 : 9b \| carroll \| susan w. krebs \| republican \| 2002 \| ways and means ] Execute this SQL based on the above table: select count ( district )	15
[ header: species \| common name \| ncbi accession # \| ncbi name \| length \| sequence identity \| sequence similarity \| years since divergence from human (mya) row 1 : pan troglodytes \| chimpanzee \| xp_003317262 \| depdc5 \| 1572 aa \| 99% \| 99% \| 6.4 row 2 : nomascus leucogenys \| gibbon \| xp_003258163 \| depdc5 \| 1602 aa \| 99% \| 99% \| 20.4 row 3 : mus musculus \| mouse \| np_001164038 \| depdc5 \| 1591 aa \| 94% \| 96% \| 92.4 row 4 : bos taurus \| cow \| xp_002694678 \| depdc5 \| 1593 aa \| 94% \| 96% \| 94.4 row 5 : sorex araneus \| shrew \| ace77702 \| depdc5 \| 1570 aa \| 94% \| 96% \| 94.4 row 6 : monodelphis domestica \| possum \| xp_001378772 \| depdc5 \| 1522 aa \| 89% \| 93% \| 163.9 row 7 : gallus gallus \| chicken \| xp_415249 \| depdc5 \| 1592 aa \| 88% \| 93% \| 301.7 row 8 : meleagris gallopavo \| turkey \| xp_003211073 \| depdc5 \| 1592 aa \| 88% \| 93% \| 301.7 row 9 : taeniopygi \| zebra finch \| xp_002199825 \| depdc5 \| 1572 aa \| 87% \| 92% \| 301.7 row 10 : xenopus tropicalis \| frog \| xp_002931964 \| depdc5-like \| 1574 aa \| 79% \| 86% \| 371.2 row 11 : danio rerio \| zebra fish \| xp_691450 \| depdc5-like \| 1590 aa \| 75% \| 84% \| 400.1 row 12 : oreochromis niloticus \| cichlid \| xp_003459226 \| depdc5 \| 1577 aa \| 74% \| 82% \| 400.1 row 13 : strongylocentrotus purpuratus \| sea urchin \| xp_794020 \| similar to depdc5 \| 1608 aa \| 43% \| 57% \| 742.9 row 14 : drosophila melanogaster \| drosophila \| np_647618 \| gc12090 \| 1471 aa \| 41% \| 57% \| 782.7 row 15 : pediculus humanus corporis \| louse \| xp_002429401 \| depdc, putative \| 1538 aa \| 38% \| 53% \| 782.7 row 16 : anopheles gambiae \| mosquito \| xp_308760 \| agap007010-pa \| 1640 aa \| 36% \| 51% \| 782.7 row 17 : ascaris suum \| ascaris \| ady40551 \| depdcp5 \| 1359 aa \| 31% \| 51% \| 937.5 row 18 : ustilago maydis \| corn smut \| xp_757759 \| vacuolar-associated protein iml1 \| 1867 aa \| 23% \| 52% \| 1215.8 row 19 : saccharomyces cerevisiae \| yeast \| np_012672 \| iml1p \| 1584 aa \| 20% \| 50% \| 1215.8 row 20 : albugo laibachii \| white rust \| cca27519 \| vacuolar membrane-associated protein putative \| 1591 aa \| 20% \| 46% \| 1362 ] Execute this SQL based on the above table: select count ( * ) where common name > species	8
[ header: pos. \| driver \| co-driver \| car \| time row 1 : 1 \| giandomenico basso \| lorenzo granai \| peugeot 207 s2000 \| 2h28m50.8s row 2 : 2 \| bruno magalhaes \| nuno r. silva \| peugeot 207 s2000 \| +07.3s row 3 : 3 \| miguel nunes \| joao paulo \| mitsubishi lancer x r4 \| + 3m30.8s row 4 : 4 \| pedro meireles \| mario castro \| skoda fabia s2000 \| +3m42.5s row 5 : 5 \| luca betti \| francesco pezzoli \| ford fiesta s2000 \| +4m04.1s row 6 : 6 \| filipe freitas \| daniel figueiroa \| mitsubishi lancer x r4 \| +5m36s row 7 : 7 \| filipe pires \| vasco rodrigues \| mitsubishi lancer x \| +9m11.2s row 8 : 8 \| luis serrado \| joao sousa \| peugeot 206 s1600 \| +10m53.7s row 9 : 9 \| jose camacho \| fernando spinola \| peugeot 206 s1600 \| +13m08.3s row 10 : 10 \| rui conceicao \| duarte coelho \| ford escort cosworth \| +16m50.1s ] Execute this SQL based on the above table: select count ( * ) where car = 'peugeot 206 s1600'	2
[ header: year \| men's winner \| time (h:m:s) \| women's winner \| time (h:m:s) \| finishers row 1 : 1996 \| zoltan kaldy (h \| 1:04:45 \| simona staicu (hun) \| 1:11:11 \| 1768 row 2 : 1997 \| keita fujino (jp \| 1:03:14 \| sachie ozaki (jp \| 1:11:04 \| 2535 row 3 : 1998 \| seiji hamada (jp \| 1:02:44 \| kazumi kanbayashi (j \| 1:10:37 \| 2703 row 4 : 1999 \| takaki morikawa (jp \| 1:03:28 \| tomoko tamamushi (j \| 1:12:15 \| 3422 row 5 : 2000 \| piotr gladki (pol) \| 1:04:45 \| mihaela botezan (rom) \| 1:10:17 \| 4024 row 6 : 2001 \| sreten ninkovic (y \| 1:04:43 \| beata rakonczai (h \| 1:13:33 \| 3912 row 7 : 2002 \| william kipsang (ken) \| 1:02:59 \| beata rakonczai (h \| 1:13:39 \| 4403 row 8 : 2003 \| miklos zatyko ( \| 1:05:53 \| aniko kalovics (hun) \| 1:11:08 \| 4470 row 9 : 2004 \| sreten ninkovic (s \| 1:06:51 \| aniko kalovics (hun) \| 1:11:18 \| 4601 row 10 : 2005 \| andras juhasz (h \| 1:05:57 \| eszter erdelyi \| 1:16:10 \| 5466 row 11 : 2006 \| barnabas bene (hun) \| 1:06:32 \| aniko kalovics (hun) \| 1:10:46 \| 4964 row 12 : 2007 \| balazs ott (h \| 1:07:19 \| krisztina papp \| 1:12:09 \| 5020 row 13 : 2008 \| roberto pasquale ruti \| 1:07:22 \| beata rakonczai (h \| 1:14:38 \| 4930 row 14 : 2009 \| erkolo ashenafi ( \| 1:07:24 \| krisztina papp \| 1:15:27 \| 4848 row 15 : 2010 \| laszlo toth (hun \| 1:04:38 \| krisztina papp \| 1:13:13 \| 5520 row 16 : 2011 \| tamas kovacs (h \| 1:06:03 \| aniko kalovics (hun) \| 1:15:04 \| 6203 row 17 : 2012 \| gabor jozsa (hun \| 1:06:36 \| krisztina papp \| 1:15:07 \| 6751 row 18 : 2013 \| henry kemboi (ken) \| 1:05:53 \| krisztina papp \| 1:12:32 \| 7436 ] Execute this SQL based on the above table: select men's winner order by year desc limit 1	henry kemboi (ken)
[ header: rank \| team \| names \| time \| qualification row 1 : 1 \| france \| christophe capelle philippe \| 4:09.570 \| q row 2 : 2 \| italy \| adler capelli mauro trent \| 4:09.695 \| q row 3 : 3 \| australia \| bradley mcgee stuart \| 4:09.750 \| q row 4 : 4 \| ukraine \| bohdan bondaryev ol \| 4:11.545 \| q row 5 : 5 \| russia \| eduard gritsun \| 4:11.665 \| q row 6 : 6 \| united states \| dirk copeland mariano friedick \| 4:11.950 \| q row 7 : 7 \| spain \| juan martinez juan \| 4:12.780 \| q row 8 : 8 \| new zealand \| gregory henderson bren \| 4:15.140 \| q row 9 : 9 \| germany \| robert bartko gui \| 4:15.140 \| None row 10 : 10 \| great britain \| robert hayes matthew \| 4:16.510 \| None row 11 : 11 \| lithuania \| arturas kasputis re \| 4:16.050 \| None row 12 : 12 \| netherlands \| jarich bakker robertus \| 4:16.175 \| None row 13 : 13 \| denmark \| frederik bertelsen j \| 4:16.175 \| None row 14 : 14 \| argentina \| walter perez edgardo \| 4:20.840 \| None row 15 : 15 \| south korea \| dae-hong chun young chung \| 4:25.215 \| None row 16 : 16 \| chile \| jose medina luis sepulve \| 4:25.960 \| None row 17 : 17 \| colombia \| john garcia marlon perez \| 4:26.400 \| None ] Execute this SQL based on the above table: select min ( qualification + team )	0
[ header: title \| year \| channel \| role \| notes row 1 : parkinson \| 2002 \| bbc one \| herself \| performed "we will rock you" and "we row 2 : loose women \| 2007 \| itv \| elphaba \| performed "the wizard and i" row 3 : i'd do anything \| 2008 \| bbc one \| herself \| mentored potential nancys at the row 4 : royal variety performance \| 2008 \| bbc one \| herself \| performed "defying gravity" with bri row 5 : over the rainbow \| 2010 \| bbc one \| herself \| mentored potential dorothys at row 6 : big brother's little brother \| 2010 \| e4 \| herself \| interview row 7 : tonight's the night \| 2010 \| bbc one \| herself \| performed "wind beneath my wings" with contestant row 8 : this morning \| 2010 \| itv \| herself \| interview; performed "anthem" with bri row 9 : breakfast \| 2010 \| bbc one \| herself \| interview row 10 : proms in the park \| 2010 \| bbc red button \| herself \| performed "dangerland", "i'm row 11 : the wright stuff \| 2010 \| channel 5 \| herself \| special guest panelist row 12 : festival of remembrance \| 2010 \| bbc one \| herself \| performed "anthem" with brian may row 13 : only men aloud - merry \| 2010 \| s4c \| herself \| performed "somebody to love" with only men row 14 : breakfast \| 2011 \| bbc one \| herself \| interview with brian may row 15 : 2011 laurence olivier awards \| 2011 \| bbc red button \| herself \| performed "look to the rainbow" with barry row 16 : the alan titchmarsh \| 2011 \| itv \| herself \| performed "defying gravity" row 17 : fern \| 2011 \| channel 4 \| herself \| interview; performed "i love a butterfly" row 18 : the hour \| 2011 \| stv \| herself \| interview; performed "i love a butterfly" row 19 : fa community shield \| 2011 \| sky sports \| herself \| performed the british national anthem row 20 : sanremo music festival 2012 \| 2012 \| rai 1 \| herself \| performed "i (who have nothing)" and row 21 : the voice uk \| 2012 \| bbc one \| herself \| auditioned for the show's first series row 22 : foxes live: wild in the city \| 2012 \| channel 4 \| herself \| appeared in a short film about saving fox row 23 : live with \| 2012 \| channel 5 \| herself \| interview with jeff wayne row 24 : the wright stuff \| 2012 \| channel 5 \| herself \| special guest panelist row 25 : itv news london \| 2013 \| itv \| herself \| interview about tiger tracks and animal conservation with row 26 : the late late show \| 2013 \| rte one \| herself \| interview; performed "life is real" with row 27 : this morning \| 2013 \| itv \| herself \| interview; performed "born free" with bri row 28 : the alan titchmarsh \| 2013 \| itv \| herself \| interview; performed "the kissing me song" row 29 : sunday brunch \| 2013 \| channel 4 \| herself \| interview with brian may row 30 : big brother's bit on the side \| 2013 \| channel 5 \| herself \| surprise guest panelist ] Execute this SQL based on the above table: select channel where year = ( select year where channel = 'rai 1' ) - 1	bbc one, bbc red button, itv, channel 4, stv, sky sports
[ header: date \| opponent# \| rank# \| site \| result \| attendance row 1 : september 9 \| northern illinois \| #4 \| memorial stadium • lincoln, \| w 48-17 \| 76194 row 2 : september 16 \| utah \| #4 \| memorial stadium • lincoln, \| w 42-30 \| 76333 row 3 : september 23 \| at minnesota \| #3 \| hubert h. humph \| w 48-0 \| 58368 row 4 : september 30 \| oregon state \| #3 \| memorial stadium • lincoln, \| w 35-7 \| 76290 row 5 : october 7 \| kansas state \| #4 \| memorial stadium • lincoln, \| w 58-7 \| 76265 row 6 : october 14 \| at missouri \| #4 \| faurot field • columbia \| w 50-7 \| 55620 row 7 : october 21 \| at oklahoma state \| #4 \| lewis field • stillwater, o \| w 48-23 \| 40000 row 8 : october 28 \| iowa state \| #4 \| memorial stadium • lincoln, \| w 49-17 \| 52877 row 9 : november 4 \| at #2 colorado \| #3 \| folsom field • boulder, colorad \| l 21-27 \| 52877 row 10 : november 11 \| kansas \| #6 \| memorial stadium • lincoln, \| w 51-14 \| 76232 row 11 : november 18 \| oklahoma \| #6 \| memorial stadium • lincoln, \| w 42-25 \| 76404 row 12 : january 1 \| vs. #5 florida state \| #6 \| sun devil stadium • tempe, ari \| l 17-41 \| 73953 ] Execute this SQL based on the above table: select date where id = ( select id where date = 'november 11' ) + 1	november 18
[ header: no. \| country \| 2009 winter universiade \| 2007 wjcc \| 2007 wwcc \| 2008 wjcc \| 2008 wwcc \| points row 1 : 1 \| canada \| 24 \| 12 \| 9 \| 12 \| 10 \| 67 row 2 : 2 \| china \| 28 \| None \| 14 \| 4 \| 6 \| 52 row 3 : 3 \| sweden \| 10 \| 5 \| 12 \| 14 \| 9 \| 50 row 4 : 4 \| great britain \| 16 \| 14 \| 5 \| 1 \| 12 \| 48 row 5 : 5 \| russia \| 20 \| 8 \| 6 \| 6 \| 5 \| 45 row 6 : 6 \| united states \| 4 \| 6 \| 4 \| 10 \| 8 \| 32 row 7 : 7 \| switzerland \| None \| 10 \| 8 \| 8 \| 3 \| 29 row 8 : 8 \| germany \| None \| None \| 7 \| 2 \| 14 \| 23 row 9 : 9 \| denmark \| None \| 3 \| 10 \| None \| 7 \| 20 row 10 : 10 \| czech republic \| 12 \| 4 \| None \| 3 \| None \| 19 row 11 : 11 \| south korea \| 8 \| None \| 3 \| None \| None \| 11 row 12 : 12 \| japan \| 6 \| 1 \| None \| None \| 2 \| 9 row 13 : 13 \| france \| None \| 2 \| None \| 5 \| None \| 7 row 14 : 14 \| norway \| None \| None \| 2 \| None \| 4 \| 6 row 15 : 15 \| poland \| 2 \| None \| None \| None \| None \| 2 row 16 : 16 \| italy \| None \| None \| 1 \| None \| None \| 1 row 17 : 17 \| latvia \| None \| None \| None \| None \| 1 \| 1 row 18 : None \| turkey (host) \| None \| None \| None \| None \| None \| 0 ] Execute this SQL based on the above table: select country where 2007 wwcc = ( select min ( 2007 wwcc ) )	italy
[ header: res. \| record \| opponent \| method \| event \| date \| round \| time \| location \| notes row 1 : loss \| 7-1 \| cristiane justino \| tko (punches) \| strikeforce: carano vs. \| august 15, 2009 \| 1 \| 4:59 \| san jose, californ \| for the women's featherweight championship row 2 : win \| 7-0 \| kelly kobold \| decision (unanimous) \| elitexc: heat \| october 4, 2008 \| 3 \| 3:00 \| sunrise, florida, united states \| None row 3 : win \| 6-0 \| kaitlin young \| tko (doctor stoppage \| elitexc: primetime \| may 31, 2008 \| 2 \| 3:00 \| newark, new jersey, united states \| 144 lb catchweight row 4 : win \| 5-0 \| tonya evinger \| submission (rear naked choke) \| elitexc: uprising \| september 15, 2007 \| 1 \| 2:53 \| oahu, hawai \| 141 lb row 5 : win \| 4-0 \| julie kedzie \| decision (unanimous) \| elitexc: destiny \| february 10, 2007 \| 3 \| 3:00 \| southaven, mississippi \| elitexc debut, 141 lb row 6 : win \| 3-0 \| elaina maxwell \| decision (unanimous) \| strikeforce: triple threat \| december 8, 2006 \| 3 \| 2:00 \| san jose, californ \| strikeforce debut, 150 lb bout row 7 : win \| 2-0 \| rosi sexton \| ko (punch) \| world pro fighting championships 1 \| september 15, 2006 \| 2 \| 4:55 \| las vegas, nevada \| 138 lb catchweight row 8 : win \| 1-0 \| leiticia pestova \| ko (punches and elbows) \| world extreme fighting \| june 10, 2006 \| 1 \| 0:38 \| las vegas, nevada \| fought at 135 lbs ] Execute this SQL based on the above table: select record where id = ( select id where record = '4-0' ) + 1	3-0
[ header: rank \| name \| nationality \| time row 1 : None \| sule utura \| ethiopia \| 15:38.70 row 2 : None \| emebet anteneh men \| ethiopia \| 15:40.13 row 3 : None \| pauline korikwiang \| kenya \| 15:40.93 row 4 : 4 \| hyvin jepkemoi \| kenya \| 15:42.64 row 5 : 5 \| esther ndiema \| kenya \| 15:43.48 row 6 : 6 \| goytetom gebresil \| ethiopia \| 15:49.90 row 7 : 7 \| angeline myiramsabimana \| rwanda \| 16:24.04 row 8 : 8 \| mekdes weldu \| eritrea \| 16:42.69 row 9 : 9 \| thandiwe nyathy \| zimbabwe \| 17:13.00 ] Execute this SQL based on the above table: select nationality group by nationality order by count ( * ) desc limit 1	kenya
[ header: tie no \| home team \| score \| away team \| date row 1 : 1 \| enfield \| 1-1 \| leyton orient \| 19 november 1988 row 2 : replay \| leyton orient \| 2-2 \| enfield \| 23 november 1988 row 3 : replay \| leyton orient \| 0-1 \| enfield \| 28 november 1988 row 4 : 2 \| blackpool \| 2-1 \| scunthorpe united \| 19 november 1988 row 5 : 3 \| darlington \| 1-2 \| notts county \| 19 november 1988 row 6 : 4 \| bath city \| 2-0 \| grays athletic \| 19 november 1988 row 7 : 6 \| burnley \| 0-2 \| chester city \| 19 november 1988 row 8 : 7 \| preston north end \| 1-1 \| tranmere rovers \| 19 november 1988 row 9 : replay \| tranmere rovers \| 3-0 \| preston north end \| 22 november 1988 row 10 : 9 \| reading \| 4-2 \| hendon \| 19 november 1988 row 11 : 10 \| woking \| 1-4 \| cambridge united \| 19 november 1988 row 12 : 11 \| gillingham \| 3-3 \| peterborough united \| 19 november 1988 row 13 : replay \| peterborough united \| 1-0 \| gillingham \| 23 november 1988 row 14 : 12 \| bolton wanderers \| 0-0 \| chesterfield \| 19 november 1988 row 15 : replay \| chesterfield \| 2-3 \| bolton wanderers \| 28 november 1988 row 16 : 13 \| grimsby town \| 1-0 \| wolverhampton wanderers \| 19 november 1988 row 17 : 14 \| stafford rangers \| 2-2 \| crewe alexandra \| 19 november 1988 row 18 : replay \| crewe alexandra \| 3-2 \| stafford rangers \| 22 november 1988 row 19 : 15 \| scarborough \| 2-1 \| stockport county \| 19 november 1988 row 20 : replay \| doncaster rovers \| 2-1 \| brandon united \| 22 november 1988 row 21 : 17 \| fulham \| 0-1 \| colchester united \| 19 november 1988 row 22 : 18 \| brentford \| 2-0 \| halesowen town \| 19 november 1988 row 23 : 20 \| altrincham \| 3-2 \| lincoln city \| 19 november 1988 row 24 : 23 \| mansfield town \| 1-1 \| sheffield united \| 19 november 1988 row 25 : replay \| sheffield united \| 2-1 \| mansfield town \| 22 november 1988 row 26 : 25 \| halifax town \| 1-0 \| york city \| 19 november 1988 row 27 : 27 \| southport \| 0-2 \| port vale \| 19 november 1988 row 28 : 28 \| runcorn \| 2-2 \| wrexham \| 19 november 1988 row 29 : replay \| wrexham \| 2-3 \| runcorn \| 22 november 1988 row 30 : 29 \| torquay united \| 2-2 \| fareham town \| 19 november 1988 row 31 : 30 \| kettering town \| 2-1 \| dartford \| 19 november 1988 row 32 : 31 \| rotherham united \| 3-1 \| barrow \| 19 november 1988 row 33 : 34 \| waterlooville \| 1-4 \| aylesbury united \| 19 november 1988 row 34 : 35 \| telford united \| 1-1 \| carlisle united \| 19 november 1988 row 35 : replay \| carlisle united \| 4-1 \| telford united \| 22 november 1988 row 36 : 36 \| swansea city \| 3-1 \| northampton town \| 19 november 1988 row 37 : 37 \| frickley athletic \| 0-2 \| northwich victoria \| 19 november 1988 row 38 : 38 \| hartlepool united \| 2-0 \| wigan athletic \| 19 november 1988 row 39 : 39 \| welling united \| 3-0 \| bromsgrove rovers \| 19 november 1988 ] Execute this SQL based on the above table: select home team where away team = 'scunthorpe united'	blackpool
[ header: school name \| city \| grades \| establishment \| charter row 1 : aliamanu intermediate school \| honolulu \| 7-8 \| 1958 \| None row 2 : anuenue school \| honolulu \| k-12 \| 1958 \| charter row 3 : central middle school \| honolulu \| 6-8 \| 1926 \| None row 4 : dole middle school \| honolulu \| 6-8 \| 1955 \| None row 5 : halau ku mana nc \| honolulu \| 6-12 \| 2000 \| charter row 6 : jarrett middle school \| honolulu \| 6-8 \| 1955 \| None row 7 : kaimuki middle school \| honolulu \| 6-8 \| 1939 \| None row 8 : kalakaua middle school \| honolulu \| 6-8 \| 1928 \| None row 9 : kawananakoa middle school \| honolulu \| 6-8 \| 1927 \| None row 10 : moanalua middle school \| honolulu \| 7-8 \| 1967 \| None row 11 : niu valley middle school \| honolulu \| 6-8 \| 1955 \| None row 12 : stevenson middle school \| honolulu \| 6-8 \| 1937 \| None row 13 : washington middle school \| honolulu \| 6-8 \| 1854 \| None ] Execute this SQL based on the above table: select establishment where establishment = 1955	1955, 1955, 1955
[ header: # \| title \| date \| director \| story \| synopsis \| notes row 1 : 13 \| sacre bleu cross \| february 1, 1967 \| gerry chiniquy \| john w. dunn \| when they go after hassan the ass \| the commissioner does not appear row 2 : 14 \| le quiet squad \| may 17, 1967 \| robert mckimson \| jim ryan \| the commissioner is overworked and needs absolute \| sgt. deux-deux does row 3 : 15 \| bomb voyage \| may 22, 1967 \| robert mckimson \| tony benedict \| the commissioner is kidnapped by alien \| music score is set to ottorin row 4 : 16 \| le pig-al patrol \| may 24, 1967 \| gerry chiniquy \| jim ryan \| the inspector is sent after biker pig al \| sgt. deux-deux does row 5 : 17 \| le bowser bagger \| may 30, 1967 \| gerry chiniquy \| jim ryan \| the inspector is given private bowser, \| sgt. deux-deux does row 6 : 18 \| le escape goat \| june 29, 1967 \| gerry chiniquy \| jim ryan \| after being fired for letting louie le \| sgt. deux-deux does row 7 : 19 \| le cop on le rocks \| july 3, 1967 \| george singer \| jim ryan \| the inspector is sent to prison having been mistaken \| sgt. deux-deux and row 8 : 20 \| crow de guerre \| august 16, 1967 \| gerry chiniquy \| john w. dunn \| the inspector is continually outwitted by a \| sgt. deux-deux and row 9 : 21 \| canadian can-can \| september 20, 1967 \| gerry chiniquy \| john w. dunn \| sent to canada on an exchange programme, the inspector \| sgt. deux-deux does row 10 : 22 \| tour de farce \| october 25, 1967 \| gerry chiniquy \| jim ryan \| through his own mistake, the inspector is strand \| sgt. deux-deux and row 11 : 23 \| the shooting of caribou lou \| december 20, 1967 \| gerry chiniquy \| john w. dunn \| on holiday in canada as a mountie \| sgt. deux-deux and ] Execute this SQL based on the above table: select synopsis order by notes desc limit 1	when they go after hassan the assassin, deux-deux gives the inspector an unlucky rabbit's foot
[ header: edition \| year \| men's winner \| time (m:s) \| women's winner \| time (m:s) row 1 : 1st \| 1990 \| marti ten kate (n \| 47:52 \| alison gooderham (gbr \| 56:09 row 2 : 2nd \| 1991 \| thomas naali (t \| 47:11 \| olga bondarenko (urs \| 53:16 row 3 : 3rd \| 1992 \| boay akonay (t \| 47:04 \| iulia negura (rom) \| 53:19 row 4 : 4th \| 1993 \| gary staines (gbr) \| 46:11 \| iulia negura (rom) \| 53:01 row 5 : 5th \| 1994 \| gary staines (gbr) \| 47:00 \| gitte karlshø \| 54:49 row 6 : 6th \| 1995 \| benson masya (ken) \| 45:56 \| liz mccolgan (gb \| 53:12 row 7 : 7th \| 1996 \| gary staines (gbr) \| 46:57 \| derartu tulu (eth) \| 52:39 row 8 : 8th \| 1997 \| christopher kelong (ken) \| 46:53 \| liz mccolgan (gb \| 52:00 row 9 : 9th \| 1998 \| stephane franke (ger) \| 47:40 \| marian sutton (gbr) \| 54:17 row 10 : 10th \| 1999 \| simon kasimili (ken) \| 47:42 \| esther kiplagat (ken) \| 54:42 row 11 : 11th \| 2000 \| gert thys (rs \| 48:26 \| restituta joseph (tan \| 55:10 row 12 : 12th \| 2001 \| khalid skah (mar) \| 46:17 \| restituta joseph (tan \| 52:36 row 13 : 13th \| 2002 \| simon kasimili (ken) \| 47:27 \| sonia o'sullivan \| 51:00 row 14 : 14th \| 2003 \| john yuda (tan \| 46:35 \| sonia o'sullivan \| 53:26 row 15 : 15th \| 2004 \| hendrick ramaala (r \| 47:14 \| benita johnson (aus) \| 52:32 row 16 : 16th \| 2005 \| john yuda (tan \| 46:45 \| derartu tulu (eth) \| 51:27 row 17 : 17th \| 2006 \| simon arusei (ken) \| 47:17 \| jo pavey (gbr) \| 52:46 row 18 : 18th \| 2007 \| luke kibet (ken \| 47:31 \| rose cheruiyot (ken \| 53:44 row 19 : 19th \| 2008 \| bernard kipyego ( \| 46:42 \| paula radcliffe (gb \| 51:11 row 20 : 20th \| 2009 \| mo farah (gbr) \| 46:25 \| ines monteiro (por) \| 52:32 row 21 : 21st \| 2010 \| joseph ebuya (ken \| 45:15 \| grace momanyi (ken) \| 52:03 row 22 : 22nd \| 2011 \| leonard komon (ken) \| 46:18 \| aselefech mergia (eth \| 52:55 row 23 : 23rd \| 2012 \| stephen mokoka (rsa \| 46:40 \| jo pavey (grb) \| 53:01 row 24 : 24th \| 2013 \| emmanuel bett ( \| 48:03 \| florence kiplagat (ken) \| 53:53 ] Execute this SQL based on the above table: select sum ( time (m:s) )	1266
[ header: rank \| name \| nationality \| time row 1 : None \| gustavo borges \| brazil \| 1:49.41 row 2 : None \| scott tucker \| united states \| 1:50.99 row 3 : None \| leonardo costa \| brazil \| 1:51.29 row 4 : None \| mark johnston \| canada \| 1:51.29 row 5 : 5 \| nate boyle \| united states \| 1:52.83 row 6 : 6 \| yannick lupien \| canada \| 1:52.92 row 7 : 7 \| joshua ilika \| mexico \| 1:53.73 row 8 : 8 \| javier diaz \| mexico \| 1:54.01 ] Execute this SQL based on the above table: select ( select time where name = 'joshua ilika' ) - ( select time where name = 'javier diaz' )	0
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| soviet union \| 50 \| 27 \| 22 \| 99 row 2 : 2 \| united states \| 33 \| 31 \| 30 \| 94 row 3 : 3 \| east germany (gdr) \| 20 \| 23 \| 23 \| 66 row 4 : 4 \| west germany (frg) \| 13 \| 11 \| 16 \| 40 row 5 : 5 \| japan \| 13 \| 8 \| 8 \| 29 row 6 : 6 \| australia \| 8 \| 7 \| 2 \| 17 row 7 : 7 \| poland \| 7 \| 5 \| 9 \| 21 row 8 : 8 \| hungary \| 6 \| 13 \| 16 \| 35 row 9 : 9 \| bulgaria \| 6 \| 10 \| 5 \| 21 row 10 : 10 \| italy \| 5 \| 3 \| 10 \| 18 ] Execute this SQL based on the above table: select nation where bronze = 22	soviet union
[ header: symbol \| gsi \| meaning \| unicode \| description row 1 : ◬ \| ○ \| base triangulation surveying point \| u+25ec \| dot in upward-pointing triangle row 2 : None \| ○ \| electronic triangulation point \| None \| dot in upward-pointing triangle with flag row 3 : ⊡ \| ○ \| benchmark \| u+22a1 \| dot in square row 4 : ⛭ \| ○ \| factory \| u+26ed \| gear without hub row 5 : ⛯ \| ○ \| lighthouse \| u+26ef \| map symbol for lighthouse row 6 : ⛮ \| ○ \| power station \| u+26ee \| gear with handles row 7 : 文 \| ○ \| elementary or junior high school \| u+6587 \| kanji bun row 8 : 文 \| ○ \| high school \| None \| kanji bun in a circle row 9 : None \| ○ \| university \| None \| kanji bun with a smaller ka row 10 : None \| ○ \| technical college \| None \| kanji bun with a smaller ka row 11 : 〒 \| ○ \| post office \| u+3036 \| down tack (t-shape row 12 : 〒 \| × \| sub post office (not distribution centre) \| u+3012 \| down tack (t-shape row 13 : ⭙ \| ○ \| police station \| u+2b59 \| heavy circled saltire row 14 : ☓ \| ○ \| koban (police box) \| u+2613 \| diagonal cross (saltire) row 15 : ⊕ \| ○ \| public health centre \| u+2295 \| greek cross in circle row 16 : ⛨ \| ○ \| hospital \| None \| greek cross in shield row 17 : ⭖ \| ○ \| prefectural office \| u+26fb \| oval bullseye row 18 : ⭗ \| ○ \| city hall \| u+2b57 \| heavy circle with circle inside row 19 : ◉ \| ○ \| ward office \| u+25c9 \| fisheye row 20 : ⭘ \| ○ \| town hall \| u+2b58 \| heavy circle row 21 : ⛩ \| ○ \| shinto shrine \| u+26e9 \| shinto shrine row 22 : 卍 \| ○ \| buddhist temple \| u+534d \| manji (swastika) row 23 : ⛫ \| ○ \| castle \| u+26eb \| castle row 24 : ⛼ \| ○ \| cemetery \| u+26fc \| headstone graveyard symbol row 25 : ♨ \| ○ \| onsen (hot springs) \| u+2668 \| oval with three vertical wavy lines row 26 : ⛬ \| ○ \| historical landmark \| u+26ec \| historic site row 27 : ⛰ \| ○ \| summit \| u+26f0 \| mountain ] Execute this SQL based on the above table: select gsi where gsi in ( '○' , '○' ) and symbol = '⛯'	○